awesome-domain-adaptation

Domain adaptation repository

A collection of resources and research papers on techniques for adapting machine learning models to new domains or tasks with limited data

A collection of AWESOME things about domian adaptation

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adversarial-learningawesome-listdomain-adaptationfew-shot-learningimage-translationoptimal-transportpapertransfer-learningzero-shot-learning

Papers / Survey
[17 Nov 2022] Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
[7 Jun 2021] A Survey on Deep Domain Adaptation for LiDAR Perception
[7 Nov 2019] A Comprehensive Survey on Transfer Learning
[12 Mar 2019] Transfer Adaptation Learning: A Decade Survey
[16 Jan 2019] A review of single-source unsupervised domain adaptation
[31 Dec 2018] An introduction to domain adaptation and transfer learning
[6 Dec 2018] A Survey of Unsupervised Deep Domain Adaptation
[2017] Transfer Learning for Cross-Dataset Recognition: A Survey
[2017] Domain Adaptation for Visual Applications: A Comprehensive Survey
[IEEE Access 2023] Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving
[TNNLS 2020] A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
[Neurocomputing 2018] Deep Visual Domain Adaptation: A Survey
[ICANN2018] A Survey on Deep Transfer Learning
[2015] Visual domain adaptation: A survey of recent advances

Papers / Theory
[22 Feb 2021] A Theory of Label Propagation for Subpopulation Shift
[3 Oct 2019] A General Upper Bound for Unsupervised Domain Adaptation
[arXiv 15 Nov 2018] On Deep Domain Adaptation: Some Theoretical Understandings
[NeurIPS 2020] Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
[ICML2019] Bridging Theory and Algorithm for Domain Adaptation
[ICML2019] On Learning Invariant Representation for Domain Adaptation
[AAAI2019] Unsupervised Domain Adaptation Based on Source-guided Discrepancy
[NIPS2007] Learning Bounds for Domain Adaptation
[NIPS2006] Analysis of Representations for Domain Adaptation
[ACHA2021] On a Regularization of Unsupervised Domain Adaptation in RKHS
[TPAMI2020] Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
[AMAI2020] On generalization in moment-based domain adaptation
[ML2010] A theory of learning from different domains

Papers / Explainable
[CVPR2021] Visualizing Adapted Knowledge in Domain Transfer

Papers / Unsupervised DA / Adversarial Methods
[NeurIPS 2023] SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
[CVPR2022] Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
[ICML2022] A Closer Look at Smoothness in Domain Adversarial Training
[NeurIPS2021] ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
[ICCV2021] Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate
[ICCV2021] Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation
[ICCV2021] Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation
[CVPR2021] Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
[CVPR2021] MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
[IJCAI2020] Self-adaptive Re-weighted Adversarial Domain Adaptation
[CoRL2020] DIRL: Domain-Invariant Reperesentation Learning Approach for Sim-to-Real Transfer
[ECCV Workshop 2020] SSA-DA: Bi-dimensional feature alignment for cross-domain object detection
[ECCV2020] Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
[ECCV2020] MCAR: Adaptive object detection with dual multi-label prediction
[CVPR2020] Gradually Vanishing Bridge for Adversarial Domain Adaptation
[ICML2020] Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
[AAAI2020] Adversarial-Learned Loss for Domain Adaptation
[AAAI2020] Structure-Aware Feature Fusion for Unsupervised Domain Adaptation
[AAAI2020] Adversarial Domain Adaptation with Domain Mixup
[AAAI2020] Discriminative Adversarial Domain Adaptation
[AAAI2020] Bi-Directional Generation for Unsupervised Domain Adaptation
[ICASSP 2020] Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
[BMVC2019] Curriculum based Dropout Discriminator for Domain Adaptation
[IJCNN2019] Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition
[ICDM2019] Transfer Learning with Dynamic Adversarial Adaptation Network
[ACM MM2019] Joint Adversarial Domain Adaptation
[ACM MM2019] Cycle-consistent Conditional Adversarial Transfer Networks
[IJCAI2019] Learning Disentangled Semantic Representation for Domain Adaptation
[ICML2019] Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
[ICML2019] Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers
[ICCV2019] Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
[ICCV2019] Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
[ICCV2019] Unsupervised Domain Adaptation via Regularized Conditional Alignment
[CVPR2019] Attending to Discriminative Certainty for Domain Adaptation
[CVPR2019] GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation
[CVPR2019] Domain-Symmetric Networks for Adversarial Domain Adaptation
[CVPR2019 Oral] DLOW: Domain Flow for Adaptation and Generalization
[CVPR2019] Progressive Feature Alignment for Unsupervised Domain Adaptation
[CVPR2019] Gotta Adapt ’Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
[IJCNN2019] Looking back at Labels: A Class based Domain Adaptation Technique
[AAAI2019] Consensus Adversarial Domain Adaptation
[AAAI2019] Transferable Attention for Domain Adaptation
[AAAI2019] Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
[ICLR2019] Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
[NIPS2018] Conditional Adversarial Domain Adaptation
[ECCV2018] Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
[ECCV2018] Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
[ICML2018] Learning Semantic Representations for Unsupervised Domain Adaptation
[ICML2018] CyCADA: Cycle-Consistent Adversarial Domain Adaptation
[CVPR2018] From source to target and back: Symmetric Bi-Directional Adaptive GAN
[CVPR2018] Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
[CVPR2018] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
[CVPR2018] Adversarial Feature Augmentation for Unsupervised Domain Adaptation
[CVPR2018] Duplex Generative Adversarial Network for Unsupervised Domain Adaptation
[CVPR2018] Generate To Adapt: Aligning Domains using Generative Adversarial Networks
[CVPR2018] Image to Image Translation for Domain Adaptation
[CVPR2018] Unsupervised Domain Adaptation with Similarity Learning
[CVPR2018] Conditional Generative Adversarial Network for Structured Domain Adaptation
[CVPR2018] Collaborative and Adversarial Network for Unsupervised Domain Adaptation
[CVPR2018] Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
[AAAI2018] Multi-Adversarial Domain Adaptation
[AAAI2018] Wasserstein Distance Guided Representation Learning for Domain Adaptation
[ICRA2018] Incremental Adversarial Domain Adaptation for Continually Changing Environments
[ICLR2018] Adversarial Dropout Regularization
[ICLR2018 Poster] A DIRT-T Approach to Unsupervised Domain Adaptation
[NIPS2017] Label Efficient Learning of Transferable Representations acrosss Domains and Tasks
[CVPR2017] Adversarial Discriminative Domain Adaptation
[CVPR2017] Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
[NIPS2016] Domain Separation Networks
[ECCV2016] Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
[JMLR2016] Domain-Adversarial Training of Neural Networks
[ICML2015] Unsupervised Domain Adaptation by Backpropagation
[TNNLS 2020] Incremental Unsupervised Domain-Adversarial Training of Neural Networks
[TPAMI2020] Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
[IEEE ACCESS] Adversarial Learning and Interpolation Consistency for Unsupervised Domain Adaptation
[Knowledge-Based Systems] TarGAN: Generating target data with class labels for unsupervised domain adaptation
[12 Feb 2020] Bi-Directional Generation for Unsupervised Domain Adaptation
[19 Feb 2020] Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
[10 Dec 2019] Learning Domain Adaptive Features with Unlabeled Domain Bridges
[25 Oct 2019] Reducing Domain Gap via Style-Agnostic Networks
[23 Oct 2019] Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment
[25 Sep 2019] Adversarial Variational Domain Adaptation
[arXiv 13 Sep 2019] Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation
[arXiv 11 Jun 2019] SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation
[arXiv 10 Jun 2019] Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation
[arXiv 28 May 2019] Adversarial Domain Adaptation Being Aware of Class Relationships
[arXiv 30 Nov 2018] Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption
[arXiv 17 Feb 2019] Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks
[arXiv 30 Dec 2018] DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification
[arXiv 2 Dec 2018] Unsupervised Domain Adaptation using Generative Models and Self-ensembling
[arXiv 10 Oct 2018] Domain Confusion with Self Ensembling for Unsupervised Adaptation
[arXiv 10 Sep 2018] Improving Adversarial Discriminative Domain Adaptation
[arXiv 6 Jul 2018] M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
[arXiv 4 Jun 2018] Factorized Adversarial Networks for Unsupervised Domain Adaptation
[arXiv 21 May 2018] DiDA: Disentangled Synthesis for Domain Adaptation
[arXiv 25 Apr 2018] Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
[arXiv 28 Jun 2018] Causal Generative Domain Adaptation Networks

Papers / Unsupervised DA / Distance-based Methods
[TPAMI] Transferable Representation Learning with Deep Adaptation Networks
[InfSc2019] Robust unsupervised domain adaptation for neural networks via moment alignment
[AAAI2020] Domain Conditioned Adaptation Network
[AAAI2020] HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
[ICCV2019] Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation
[AAAI2019] Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
[CVPR2018] Residual Parameter Transfer for Deep Domain Adaptation
[AAAI2018] Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation
[ICLR2017] Central Moment Discrepancy for Unsupervised Domain Adaptation , ,
[ECCV2016] Deep CORAL: Correlation Alignment for Deep Domain Adaptation
[ICML2015] Learning Transferable Features with Deep Adaptation Networks
[NIPS2016] Unsupervised Domain Adaptation with Residual Transfer Networks
[ICML2017] Deep Transfer Learning with Joint Adaptation Networks
[Arxiv 2014] Deep Domain Confusion: Maximizing for Domain Invariance

Papers / Unsupervised DA / Information-based Methods
[AAAI2021] Hypothesis Disparity Regularized Mutual Information Maximization

Papers / Unsupervised DA / Optimal Transport
[AISTATS2023] Global-Local Regularization Via Distributional Robustness
[UAI2021] MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning
[ICML2021] LAMDA: Label Matching Deep Domain Adaptation
[IJCAI2021] TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
[ICML2021] Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
[ICML2020] Graph Optimal Transport for Cross-Domain Alignment
[ICML2020] Margin-aware Adversarial Domain Adaptation with Optimal Transport
[IJCAI2020] Metric Learning in Optimal Transport for Domain Adaptation
[CVPR2020] Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation
[CVPR2020] Enhanced Transport Distance for Unsupervised Domain Adaptation
[IJCAI2019] Differentially Private Optimal Transport: Application to Domain Adaptation
[ECCV2018] DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation
[NIPS2017] Joint Distribution Optimal Transportation for Domain Adaptation
[20 Sep 2019] CDOT: Continuous Domain Adaptation using Optimal Transport

Papers / Unsupervised DA / Incremental Methods
[TNNLS 2020] Incremental Unsupervised Domain-Adversarial Training of Neural Networks

Papers / Unsupervised DA / Semi-Supervised-Learning-Based Methods
[ECCV2020] Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
[arXiv 2021] Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners

Papers / Unsupervised DA / Self-training-Based Methods
[NeurIPS2021] Cycle Self-Training for Domain Adaptation
[ICCV Workshop 2021] Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
[ECCV 2020] Instance Adaptive Self-Training for Unsupervised Domain Adaptation
[NeurIPS 2020] Self-training Avoids Using Spurious Features Under Domain Shift
[ECCV2020] Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
[arXiv 20211] Probabilistic Contrastive Learning for Domain Adaptation
[arXiv 2021] Gradual Domain Adaptation via Self-Training of Auxiliary Models

Papers / Unsupervised DA / Self-Supervised Methods
[ECCV2020] Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation
[arXiv 26 Sep 2019] Unsupervised Domain Adaptation through Self-Supervision

Papers / Unsupervised DA / Transformer-based Methods
[CVPR2022] Safe Self-Refinement for Transformer-Based Domain Adaptation [

Papers / Unsupervised DA / Other Methods
[ECCV2022] Prior Knowledge Guided Unsupervised Domain Adaptation
[ACCV2022] Revisiting Unsupervised Domain Adaptation Models: a Smoothness Perspective
[NeurIPS2021] Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
[NeurIPS2021] Pareto Domain Adaptation
[NeurIPS2021] ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
[NeurIPS2021] A Prototype-Oriented Framework for Unsupervised Domain Adaptation
[NeurIPS2021] Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
[ICCV2021] SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
[ICCV2021] Transporting Causal Mechanisms for Unsupervised Domain Adaptation
[ICCV2021] Semantic Concentration for Domain Adaptation
[CVPR2021] FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
[CVPR2021] Domain Adaptation With Auxiliary Target Domain-Oriented Classifier
[CVPR2021] Conditional Bures Metric for Domain Adaptation
[CVPR2021] DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
[CVPR2021] Visualizing Adapted Knowledge in Domain Transfer
[CVPR2021] Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
[CVPR2021] Dynamic Domain Adaptation for Efficient Inference
[CVPR2021] Transferable Semantic Augmentation for Domain Adaptation
[CVPR2021] MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
[CVPR2021] DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
[CVPR2021] Dynamic Weighted Learning for Unsupervised Domain Adaptation
[NeurIPS 2020] Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
[NeurIPS 2020] Transferable Calibration with Lower Bias and Variance in Domain Adaptation
[NeurIPS 2020] A Dictionary Approach to Domain-Invariant Learning in Deep Networks
[NeurIPS2020] Heuristic Domain Adaptation
[ECCV2020] Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search
[ECCV2020] Mind the Discriminability: Asymmetric Adversarial Domain Adaptation
[ECCV2020] Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
[ECCV2020] CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
[ECCV2020] Minimum Class Confusion for Versatile Domain Adaptation
[ECCV2020] Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift
[ECCV2020] Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
[CVPR2020 Oral] Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
[CVPR2020 Oral] Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
[CVPR2020] Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization
[CVPR2020] Spherical Space Domain Adaptation With Robust Pseudo-Label Loss
[CVPR2020] Stochastic Classifiers for Unsupervised Domain Adaptation
[CVPR2020] Structure Preserving Generative Cross-Domain Learning
[CVPR2020] Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation
[ICLR2020] Domain Adaptive Multiflow Networks
[AAAI2020] Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
[Paper] Visual Domain Adaptation by Consensus-based Transfer to Intermediate Domain
[AAAI2020] Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
[ICDM2019] CUDA: Contradistinguisher for Unsupervised Domain Adaptation
[ICML2019] Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
[ICCV2019] Batch Weight for Domain Adaptation With Mass Shift
[ICCV2019] Switchable Whitening for Deep Representation Learning
[ICCV2019 Oral] Confidence Regularized Self-Training
[ICCV2019] Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
[CVPR2019(Oral)] Transferrable Prototypical Networks for Unsupervised Domain Adaptation
[CVPR2019] Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
[CVPR 2019] Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss
[CVPR2019] Domain Specific Batch Normalization for Unsupervised Domain Adaptation
[CVPR2019] AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
[CVPR2019] Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
[CVPR2019] Contrastive Adaptation Network for Unsupervised Domain Adaptation
[CVPR2019] Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation
[CVPRW2019] Unsupervised Domain Adaptation via Calibrating Uncertainties
[IJCAI2019] Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
[ICLR2019] Unsupervised Domain Adaptation for Distance Metric Learning
[NIPS2018] Co-regularized Alignment for Unsupervised Domain Adaptation
[TIP 2018] Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation
[ECCV2018] Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation
[CVPR2018] Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation
[AAAI2018] Unsupervised Domain Adaptation with Distribution Matching Machines
[ICLR2018] Learning to cluster in order to transfer across domains and tasks
[ICLR2018] Self-Ensembling for Visual Domain Adaptation
[ICLR2018] Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
[ICCV2017] Associative Domain Adaptation
[ICCV2017] AutoDIAL: Automatic DomaIn Alignment Layers
[ICML2017] Asymmetric Tri-training for Unsupervised Domain Adaptation
[NIPS2016] Learning Transferrable Representations for Unsupervised Domain Adaptation
[IEEE TMI 2020] Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search
[Pattern Recognition(2018)] Adaptive Batch Normalization for practical domain adaptation
[IEEE ACCESS] Unsupervised Domain Adaptation by Mapped Correlation Alignment
[6 Feb 2022] Low-confidence Samples Matter for Domain Adaptation
[21 Nov 2019] Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
[28 Oct 2019] Deep causal representation learning for unsupervised domain adaptation
[25 Sep 2019] Domain-invariant Learning using Adaptive Filter Decomposition
[arXiv 30 May 2019] Discriminative Clustering for Robust Unsupervised Domain Adaptation
[arXiv on 24 May 2019] Virtual Mixup Training for Unsupervised Domain Adaptation
[arXiv 26 May 2019] Learning Smooth Representation for Unsupervised Domain Adaptation
[arXiv 13 Apr 2019] Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation
[arXiv 2 Apr 2019] Easy Transfer Learning By Exploiting Intra-domain Structures
[arXiv 30 Jan 2019] Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation
[arXiv 22 Jan 2019] Domain Alignment with Triplets
[arXiv 17 Nov 2018] Deep Discriminative Learning for Unsupervised Domain Adaptation

Papers / Foundation-Models based DA
[ICML2023] POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models

Papers / Semi-supervised DA
[CVPR 2023] Semi-Supervised Domain Adaptation With Source Label Adaptation
[IJCAI 2022] Multi-level Consistency Learning for Semi-supervised Domain Adaptation
[ICLR 2022] AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
[NeurIPS] CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
[ICCV2021] Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation
[ICCV2021] ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation
[CVPR2021] Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
[CVPR2021] Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
[CVPR2021] Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
[CVPRW2021] Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics
[ECCV2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
[ECCV2020] Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
[IJCAI2020] Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
[ICCV2019] Semi-supervised Domain Adaptation via Minimax Entropy
[Neural Networks] Context-guided entropy minimization for semi-supervised domain adaptation
[22 Nov 2022] Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation
[ 24 Jul 2020] MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation
[6 Feb 2020] Opposite Structure Learning for Semi-supervised Domain Adaptation
[25 Oct 2019] Reducing Domain Gap via Style-Agnostic Networks

Papers / Weakly-Supervised DA
[IJCAI2020] Towards Accurate and Robust Domain Adaptation under Noisy Environments
[CVPR2019] Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
[AAAI2019] Transferable Curriculum for Weakly-Supervised Domain Adaptation
[arXiv on 19 May 2019] Butterfly: Robust One-step Approach towards Wildly-unsupervised Domain Adaptation

Papers / Zero-shot DA
[ICCV2021] Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation
[ICCV2021] Zero-Shot Day-Night Domain Adaptation with a Physics Prior
[ECCV2020] High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images
[ECCV2020] Adversarial Learning for Zero-shot Domain Adaptation
[ECCV2020] HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation
[ACML2019] Zero-shot Domain Adaptation Based on Attribute Information
[ICCV2019] Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
[NIPS2018] Generalized Zero-Shot Learning with Deep Calibration Network
[ECCV2018] Zero-Shot Deep Domain Adaptation

Papers / One-shot DA
[NeurIPS2020] Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
[ICLR Workshop 2014] One-Shot Adaptation of Supervised Deep Convolutional Models
[arxiv] One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

Papers / Few-shot UDA
[CVPR2021] Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
[arXiv 18 Mar 2020] Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels

Papers / Few-shot DA
[WACV2021] Domain-Adaptive Few-Shot Learning
[ICML2020] Few-shot Domain Adaptation by Causal Mechanism Transfer
[CVPR2019] Few-Shot Adaptive Faster R-CNN
[CVPR2019 Oral] d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
[NIPS2017] Few-Shot Adversarial Domain Adaptation
[arXiv 18 May 2020] Feature transformation ensemble model with batch spectral regularization for cross-domain few-shot classification
[arXiv 8 June 2020] Ensemble model with batch spectral regularization and data blending for cross-domain few-shot learning with unlabeled data

Papers / Partial DA
[NeurIPS2021] Implicit Semantic Response Alignment for Partial Domain Adaptation
[NeurIPS2021] Adversarial Reweighting for Partial Domain Adaptation
[ECCV2020] A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
[ECCV2020] Discriminative Partial Domain Adversarial Network
[CVPR2020] Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation
[ACM MM2020] Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
[BMVC2019] Multi-Weight Partial Domain Adaptation
[CVPR2019] Learning to Transfer Examples for Partial Domain Adaptation
[ECCV2018] Partial Adversarial Domain Adaptation
[CVPR2018] Importance Weighted Adversarial Nets for Partial Domain Adaptation
[CVPR2018] Partial Transfer Learning with Selective Adversarial Networks
[TPAMI2020] Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
[arXiv 06 Dec 2020] Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
[20 Feb 2020] Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
[arXiv 12 Jun 2019] Tackling Partial Domain Adaptation with Self-Supervision
[arXiv 10 May 2019] Domain Adversarial Reinforcement Learning for Partial Domain Adaptation

Papers / Open Set DA
[ICCV2021] Towards Novel Target Discovery Through Open-Set Domain Adaptation
[ECCV2020] On the Effectiveness of Image Rotation for Open Set Domain Adaptation
[ECCV2020] Multi-Source Open-Set Deep Adversarial Domain Adaptation
[ICML2020] Progressive Graph Learning for Open-Set Domain Adaptation
[IJCAI2020] Joint Partial Optimal Transport for Open Set Domain Adaptation
[CVPR2020] Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation
[CVPR 2020] Towards Inheritable Models for Open-Set Domain Adaptation
[ICCV2019] Attract or Distract: Exploit the Margin of Open Set
[CVPR2019] Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
[CVPR2019] Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
[ICLR2019] Learning Factorized Representations for Open-set Domain Adaptation
[ECCV2018] Open Set Domain Adaptation by Backpropagation
[ICCV2017] Open Set Domain Adaptation
[Applied Intelligence 2022] Open-set domain adaptation by deconfounding domain gaps
[TPAMI2020] Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
[IEEE TMM] Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation
[10 Feb 2020] Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation
[3 May 2019] Known-class Aware Self-ensemble for Open Set Domain Adaptation

Papers / Universal DA
[EMNLP 2023 Findings] Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
[NeurIPS2022] Subsidiary Prototype Alignment for Universal Domain Adaptation
[ICCV2021] OVANet: One-vs-All Network for Universal Domain Adaptation
[ICCV 2021] Active Universal Domain Adaptation
[CVPR 2021] Domain Consensus Clustering for Universal Domain Adaptation
[CVPR2021] Divergence Optimization for Noisy Universal Domain Adaptation
[NeurIPS 2020] Universal Domain Adaptation through Self Supervision
[ECCV2020] Learning to Detect Open Classes for Universal Domain Adaptation
[CVPR2020] Universal Source-Free Domain Adaptation
[CVPR2019] Universal Domain Adaptation
[Applied Intelligence 2023] Universal Model Adaptation by Style Augmented Open-set Consistency
[5 Nov 2020] Universal Multi-Source Domain Adaptation
[14 Jan 2020] A Sample Selection Approach for Universal Domain Adaptation

Papers / Open Compound DA
[NeurIPS2020] Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
[CVRP2020 Oral] Open Compound Domain Adaptation
[TCSVT 2022] Source-Free Open Compound Domain Adaptation in Semantic Segmentation

Papers / Multi Source DA
[NeurIPS2021] Confident Anchor-Induced Multi-Source Free Domain Adaptation
[ICCV2021] mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets
[ICCV2021] STEM: An Approach to Multi-Source Domain Adaptation With Guarantees
[ICCV2021] T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation
[ICCV2021] Multi-Source Domain Adaptation for Object Detection
[ICCV2021] Information-Theoretic Regularization for Multi-Source Domain Adaptation
[CVPR2021] Partial Feature Selection and Alignment for Multi-Source Domain Adaptation
[CVPR2021] Wasserstein Barycenter for Multi-Source Domain Adaptation
[CVPR2021] Unsupervised Multi-source Domain Adaptation Without Access to Source Data
[CVPR2021] Dynamic Transfer for Multi-Source Domain Adaptation
[CVPR2021] Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation
[UAI2021] MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning
[ICCV Workshop 2021] Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
[NeurIPS 2020] Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
[ECCV2020] Multi-Source Open-Set Deep Adversarial Domain Adaptation
[ECCV2020] Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
[ECCV2020] Multi-Source Open-Set Deep Adversarial Domain Adaptation
[ECCV2020] Curriculum Manager for Source Selection in Multi-Source Domain Adaptation
[ICML2020] Domain Aggregation Networks for Multi-Source Domain Adaptation
[ECCV2020] 68 over 2 years ago Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
[AAAI2020] Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
[AAAI2020] Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis
[AAAI2020] Multi-source Domain Adaptation for Visual Sentiment Classification
[AAAI2020] Multi-source Distilling Domain Adaptation
[NeurlPS2019] Multi-source Domain Adaptation for Semantic Segmentation
[ICCV2019] Moment Matching for Multi-Source Domain Adaptation
[ICLR2019] Multi-Domain Adversarial Learning
[NIPS2018] Algorithms and Theory for Multiple-Source Adaptation
[NIPS2018] Adversarial Multiple Source Domain Adaptation
[CVPR2018] Boosting Domain Adaptation by Discovering Latent Domains
[CVPR2018] Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
[TPAMI 2022] Graphical Modeling for Multi-Source Domain Adaptation
[Cognitive Computation] Unsupervised sentiment analysis by transferring multi-source knowledge
[Information Fusion] A survey of multi-source domain adaptation
[arXiv] Mutual learning network for multi-source domain adaptation
[arXiv] Domain Adaptive Ensemble Learning
[14 Oct 2019] Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019

Papers / Multi Target DA
[WACV2022] CoNMix for Source-free Single and Multi-target Domain Adaptation
[CVPR2021] Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
[CVPR2021] Multi-Target Domain Adaptation with Collaborative Consistency Learning
[arXiv] Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach

Papers / Incremental DA
[NeurIPS2021] Lifelong Domain Adaptation via Consolidated Internal Distribution
[CVPR2021] Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
[CVPR2021] ConDA: Continual Unsupervised Domain Adaptation
[AAAI2021] Gradient Regularized Contrastive Learning for Continual Domain Adaptation
[NeurIPS2021] Gradual Domain Adaptation without Indexed Intermediate Domains
[NeurIPS 2020] Learning to Adapt to Evolving Domains
[ECCV2020] Class-Incremental Domain Adaptation
[ICRA2018] Incremental Adversarial Domain Adaptation for Continually Changing Environments
[CVPR2014] Continuous Manifold based Adaptation for Evolving Visual Domains

Papers / Multi Step DA
[arXiv] Adversarial Domain Adaptation for Stance Detection
[arXiv] Ensemble Adversarial Training: Attacks and Defenses
[AAAI2017] Distant domain transfer learning

Papers / Heterogeneous DA
[IJCAI2020] Domain Adaptive Classification on Heterogeneous Information Networks
[ACM MM2019] Heterogeneous Domain Adaptation via Soft Transfer Network

Papers / Target-agnostic DA
[8 Sep 2019] Compound Domain Adaptation in an Open World
[ICML2019] Domain Agnostic Learning with Disentangled Representations
[CVPR2019] Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks

Papers / Federated DA
[5 Nov 2019] Federated Adversarial Domain Adaptation

Papers / Continuously Indexed DA
[ICML 2020] Continuously Indexed Domain Adaptation

Papers / Source Free DA
[AAAI2023] Domain Adaptation with Adversarial Training on Penultimate Activations
[ICCV2023] Source-free Domain Adaptive Human Pose Estimation
[IJCAI2023] RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
[WACV2022] CoNMix for Source-free Single and Multi-target Domain Adaptation
[ECCV2022] Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition
[ECCV2022] Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
[ICML2022] Balancing Discriminability and Transferability for Source-Free Domain Adaptation
[IJCAI2021] Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
[NeurIPS2021] Confident Anchor-Induced Multi-Source Free Domain Adaptation
[NeurIPS2021] Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
[NeurIPS2021] Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
[BMVC2021] Unsupervised Domain Adaptation of Black-Box Source Models
[ICCV2021] Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation
[ICCV2021] Generalized Source-free Domain Adaptation
[ICCV2021] Adaptive Adversarial Network for Source-free Domain Adaptation
[CVPR2021] Visualizing Adapted Knowledge in Domain Transfer
[CVPR2021] Unsupervised Multi-source Domain Adaptation Without Access to Source Data
[CVPR2021] Source-Free Domain Adaptation for Semantic Segmentation
[WACV2021] Domain Impression: A Source Data Free Domain Adaptation Method
[CVPR2020] Model Adaptation: Unsupervised Domain Adaptation Without Source Data
[CVPR2020] Universal Source-Free Domain Adaptation
[CVPR2020] Towards Inheritable Models for Open-Set Domain Adaptation
[ICML2020] Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
[7 Jul 2021] Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
[14 Dec 2020] Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

Papers / Active DA
[ICCV2023] Local Context-Aware Active Domain Adaptation
[WACV2023] Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift
[CVPR2022] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
[AAAI2022] Active Learning for Domain Adaptation: An Energy-based Approach
[ICCV2021] Multi-Anchor Active Domain Adaptation for Semantic Segmentation
[ICCV2021] Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings
[ICCV2021] Active Universal Domain Adaptation
[ICCV2021] S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
[CVPR2021] Transferable Query Selection for Active Domain Adaptation

Papers / Generalized Domain Adaptation
[CVPR2021] Generalized Domain Adaptation

Papers / Model Selection
[ICLR2023ORAL] Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
[NeurIPS2021] The Balancing Principle for Parameter Choice in Distance-Regularized Domain Adaptation
[ICML2019] Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation

Papers / Other Transfer Learning Paradigms / Domain Generalization
[ICLR2024] Adapting to Distribution Shift by Visual Domain Prompt Generation
[AAAI2024 (Oral)] Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
[CVPR 2024] A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
[CVPR 2024] Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
[WACV 2024] Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation
[ICLR 2023] Topology-aware Robust Optimization for Out-of-Distribution Generalization
[ICCV Workshop 2023] A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
[ICCV Workshop 2023] Weight Averaging Improves Knowledge Distillation under Domain Shift
[AAAI2023 oral] Adaptive Texture Filtering for Single-Domain Generalized Segmentation
[ICCV2023] PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
[ICLR2023(Oral)] Sparse Mixture-of-Experts are Domain Generalizable Learners
[NeruIPS2022] Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
[ECCV 2022] Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
[CVPR 2021] Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
[CVPR2021] Domain Generalization via Inference-time Label-Preserving Target Projections
[NeurIPS2020] Domain Generalization via Entropy Regularization
[NeurIPS2020] Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
[ECCV2020] Learning to Learn with Variational Information Bottleneck for Domain Generalization
[ECCV2020] Self-Challenging Improves Cross-Domain Generalization
[ECCV2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
[ECCV2020] Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
[ECCV2020] Learning to Generate Novel Domains for Domain Generalization
[ECCV2020] Learning to Optimize Domain Specific Normalization for Domain Generalization
[ECCV2020] Towards Recognizing Unseen Categories in Unseen Domains
[ICML2020] Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
[CVPR2020] Learning to Learn Single Domain Generalization
[ICLR2020] Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition
[ICLR2020] Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
[AAAI2020] Domain Generalization Using a Mixture of Multiple Latent Domains
[Paper] Deep Domain-Adversarial Image Generation for Domain Generalisation
[NeurIPS2019] Domain Generalization via Model-Agnostic Learning of Semantic Features
[ICCV2019 Oral] Episodic Training for Domain Generalization [Pytorch]]( )
[ICML2019] Feature-Critic Networks for Heterogeneous Domain Generalization
[CVPR2019 Oral] Domain Generalization by Solving Jigsaw Puzzles
[NIPS2018] MetaReg: Towards Domain Generalization using Meta-Regularization
[ECCV2018] Deep Domain Generalization via Conditional Invariant Adversarial Networks
[CVPR2018] Domain Generalization with Adversarial Feature Learning
[IntellManuf2020] Domain Generalization for Regression
[Pattern Recognition(2019)] Correlation-aware Adversarial Domain Adaptation and Generalization
[8 Dec 2019] Adversarial Pyramid Network for Video Domain Generalization
[18 Sep 2019] Towards Shape Biased Unsupervised Representation Learning for Domain Generalization
[24 May 2019] A Generalization Error Bound for Multi-class Domain Generalization
[29 Apr 2019] Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
[9 Dec 2018] Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models

Papers / Other Transfer Learning Paradigms / Domain Randomization
[ICCV2019] DeceptionNet: Network-Driven Domain Randomization
[ICCV2019] Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data

Papers / Other Transfer Learning Paradigms / Transfer Metric Learning
[arXiv] Transfer Metric Learning: Algorithms, Applications and Outlooks

Papers / Other Transfer Learning Paradigms / Knowledge Transfer
[ICCV2019] Attention Bridging Network for Knowledge Transfer
[ICCV2019] Few-Shot Image Recognition with Knowledge Transfer

Papers / Other Transfer Learning Paradigms / Others
[ICCV2019] Learning Across Tasks and Domains
[ICCV2019] UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
[ICML2019] Domain Agnostic Learning with Disentangled Representations
[CVPR2019] Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
[arXiv 13 Dec 2018] When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets

Papers / Applications / Object Detection
[Arxiv 27 May 2021] Unsupervised Domain Adaptation of Object Detectors: A Survey
[BMVC2024] Improving Object Detection via Local-Global Contrastive Learning
[AAAI2024] Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond
[CVPR2023] Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
[WACV2023] Towards Online Domain Adaptive Object Detection [[
[ICIP2022] Mixture of Teacher Experts for Source-Free Domain Adaptive Object Detection
[CVPR2022] Towards Robust Adaptive Object Detection under Noisy Annotations
[CVPR2022] H FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
[CVPR2022] Cross-Domain Adaptive Teacher for Object Detection
[CVPR2022] Task-specific Inconsistency Alignment for Domain Adaptive Object Detection
[CVPR2022] SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection
[CVPR2022] Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation
[CVPR2022] Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
[CVPR2022] Cross Domain Object Detection by Target-Perceived Dual Branch Distillation
[ICLR2022] Decoupled Adaptation for Cross-Domain Object Detection
[AAAI2022] SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation
[NeurIPS2021] SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
[ICCV2021] Multi-Source Domain Adaptation for Object Detection
[ICCV2021] Knowledge Mining and Transferring for Domain Adaptive Object Detection
[ICCV2021] Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection
[ICCV2021] Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
[CVPR2021] Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
[CVPR2021] MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
[CVPR2021] SRDAN: Scale-aware and Range-aware Domain Adaptation Network for Cross-dataset 3D Object Detection
[CVPR2021] I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
[CVPR2021] RPN Prototype Alignment for Domain Adaptive Object Detector
[CVPR2021] ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
[CVPR2021] Domain-Specific Suppression for Adaptive Object Detection
[CVPR2021] Unbiased Mean Teacher for Cross-Domain Object Detection
[ECCV2020] YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models
[ECCV2020] Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection
[ECCV2020] One-Shot Unsupervised Cross-Domain Detection
[ECCV2020] Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
[ECCV2020] Adapting Object Detectors with Conditional Domain Normalization
[ECCV2020] Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions
[ECCV2020] Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
[CVPR2020] Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
[CVPR2020] Harmonizing Transferability and Discriminability for Adapting Object Detectors
[CVPR2020] Exploring Categorical Regularization for Domain Adaptive Object Detection
[CVPR2020 Oral] Cross-domain Detection via Graph-induced Prototype Alignment
[Paper] Multi-spectral Salient Object Detection by Adversarial Domain Adaptation
[ICIP2020] Deep Domain Adaptive Object Detection: a Survey
[WACV] Progressive Domain Adaptation for Object Detection
[IJCNN2019 Oral] Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
[ICCV2019 Oral] Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
[ICCV2019] A Robust Learning Approach to Domain Adaptive Object Detection
[ICCV2019] Multi-adversarial Faster-RCNN for Unrestricted Object Detection
[CVPR2019] Few-Shot Adaptive Faster R-CNN
[CVPR2019] Exploring Object Relation in Mean Teacher for Cross-Domain Detection
[CVPR2019] Adapting Object Detectors via Selective Cross-Domain Alignment
[CVPR2019] Automatic adaptation of object detectors to new domains using self-training
[CVPR2019] Towards Universal Object Detection by Domain Attention
[CVPR2019] Strong-Weak Distribution Alignment for Adaptive Object Detection
[CVPR2019] Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
[CVPR2018] Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation
[CVPR2018] Domain Adaptive Faster R-CNN for Object Detection in the Wild
[ESWA] Cross-domain object detection using unsupervised image translation
[Neurocomputing] Pixel and feature level based domain adaptation for object detection in autonomous driving
[17 Nov 2021] See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation
[3 Feb 2020] Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation
[29 Nov 2019] Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions
[17 Nov 2019] Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
[15 Nov 2019] Curriculum Self-Paced Learning for Cross-Domain Object Detection
[6 Nov 2019] SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses

Papers / Applications / Semantic Segmentation
[ACM MM2023] PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
[WACV 2023] Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
[NeruIPS 2022] Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
[ECCV 2022] DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
[ECCV 2022] HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
[ECCV 2022] Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
[CVPR 2022] DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
[WACV 2022] Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation
[WACV 2022] Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries
[NeurIPS2021] Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation
[ICCV2021] Dual Path Learning for Domain Adaptation of Semantic Segmentation
[ICCV2021] Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
[ICCV2021] Multi-Anchor Active Domain Adaptation for Semantic Segmentation
[ICCV2021] LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
[ICCV2021] Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images
[ICCV2021] Geometric Unsupervised Domain Adaptation for Semantic Segmentation
[ICCV2021] Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
[ICCV2021] BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation
[ICCV2021] BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
[ICCV2021] Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation
[ICCV2021] Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation
[ICCV2021] Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation
[CVPR2021] DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images
[CVPR2021] DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
[CVPR2021] Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
[CVPR2021] Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
[CVPR2021] Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
[CVPR2021] PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
[CVPR2021] Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
[CVPR2021] Cross-View Regularization for Domain Adaptive Panoptic Segmentation
[CVPR2021] Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
[CVPR2021] MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
[CVPR2021] Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization
[CVPR2021] Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation
[CVPR2021] Source-Free Domain Adaptation for Semantic Segmentation
[ECCV 2020] Instance Adaptive Self-Training for Unsupervised Domain Adaptation
[ICASSP 2020] Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
[NeurlIPS 2020] Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
[NeurIPS2020] Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
[BMVC2020] Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
[ECCV2020] Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
[ECCV2020] Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
[ECCV2020] Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
[ECCV2020] Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search
[ECCV2020] Domain Adaptive Semantic Segmentation Using Weak Labels
[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation
[CVPR2020] Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer
[CVPR2020] Phase Consistent Ecological Domain Adaptation
[CVPR2020] FDA: Fourier Domain Adaptation for Semantic Segmentation
[CVPR2020] Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
[CVPR2020 Oral] Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
[CVPR2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
[CVPR2020] Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
[CVPR2020] xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
[IJCAI2020] Unsupervised Scene Adaptation with Memory Regularization in vivo
[AAAI2020] Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation
[AAAI2020] An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
[NeurIPS2019] Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
[WACV2020] MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling
[WACV2020] Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation
[ICCV2019] Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
[ICCV2019] Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
[ICCV2019] SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation
[ICCV2019] Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
[ICCV2019] Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
[ICCV2019] Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
[ICCV2019] DADA: Depth-aware Domain Adaptation in Semantic Segmentation
[ICCV2019 Oral] Domain Adaptation for Structured Output via Discriminative Patch Representations
[CVPR2019(Oral)] Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection
[CVPR2019] CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
[CVPR2019] Bidirectional Learning for Domain Adaptation of Semantic Segmentation
[CVPR2019] Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
[CVPR2019] All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
[CVPR2019 Oral] DLOW: Domain Flow for Adaptation and Generalization
[CVPR2019 Oral] Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
[CVPR2019 Oral] ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
[ICLR2019] SPIGAN: Privileged Adversarial Learning from Simulation
[ECCV2018] Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
[ECCV2018] Domain transfer through deep activation matching
[ECCV2018] Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
[ECCV2018] DCAN: Dual channel-wise alignment networks for unsupervised scene adaptation
[CVPR2018] Fully convolutional adaptation networks for semantic segmentation
[CVPR2018] Learning to Adapt Structured Output Space for Semantic Segmentation
[CVPR2018] Conditional Generative Adversarial Network for Structured Domain Adaptation
[CVPR2018] Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation
[ICCV2017] Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
[ICCV2017] No more discrimination: Cross city adaptation of road scene segmenters
[TPAMI2023] SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
[TIP2022] Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
[IJCV2020] Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
[Neurocomputing 2021] Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
[TIP2020] Affinity Space Adaptation for Semantic Segmentation Across Domains
[Neurocomputing 2019] Semantic-aware short path adversarial training for cross-domain semantic segmentation
[TIP] Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
[27 Nov 2019] Class-Conditional Domain Adaptation on Semantic Segmentation
[2 Sep 2019] Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
[8 Dec 2016] FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
[13 Oct 2020] BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unconstrained Environments
[27 Nov 2020] SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments
[26 Jun 2021] Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images

Papers / Applications / Person Re-identification
[CVPR 2021] Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
[CVPR2021] Group-aware Label Transfer for Domain Adaptive Person Re-identification
[ECCV2020] Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
[ECCV2020] Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification
[ECV2020] Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
[ECCV2020] Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
[ECCV2020] Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification
[ECCV2020] Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification
[ECCV2020] Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup
[CVPR2020] AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification
[CVPR2020] Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification
[CVPR2020] Cross-Modal Cross-Domain Moment Alignment Network for Person Search
[CVPR2020] Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification
[ICLR2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
[ICCV2019 Oral] Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
[ICCV2019] A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
[CVPR2019] Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
[ECCV2018] Domain Adaptation through Synthesis for Unsupervised Person Re-identification
[CVPR2018] Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
[CVPR2018] Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
[arXiv 22 Apr 2021] Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
[arXiv 14 Mar 2020] Structured Domain Adaptation for Unsupervised Person Re-identification
[arXiv 25 May 2019] Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification
[arXiv 2 Apr 2019] Camera Adversarial Transfer for Unsupervised Person Re-Identification
[arXiv 29 Dec 2018] EANet: Enhancing Alignment for Cross-Domain Person Re-identification
[arXiv 26 Nov 2018] One Shot Domain Adaptation for Person Re-Identification
[arXiv 26 Nov 2018] Similarity-preserving Image-image Domain Adaptation for Person Re-identification

Papers / Applications / Sim-to-Real Transfer
[CoRL2020] DIRL: Domain-Invariant Reperesentation Learning Approach for Sim-to-Real Transfer

Papers / Applications / Video Domain Adaptation
https://dl.acm.org/doi/abs/10.1145/3571600.3571621 Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation [[ICVGIP'22]] ( ) [Pytorch]]( ) [[Project]] ( ) [[Extended Version]] ( )
[ECCV2022] Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition
[NeurIPS2021] Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
[ICCV2021] Learning Cross-Modal Contrastive Features for Video Domain Adaptation
[ICCV2021] Partial Video Domain Adaptation With Partial Adversarial Temporal Attentive Network
[ICCV2021] Domain Adaptive Video Segmentation via Temporal Consistency Regularization
[ECCV2020] Shuffle and Attend: Video Domain Adaptation
[CVPR2020] Transferring Cross-Domain Knowledge for Video Sign Language Recognition
[CVPR2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
[CVPR2020 Oral] Transferring Cross-domain Knowledge for Video Sign Language Recognition
[CVPR2020 Oral] Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
[AAAI2020] Adversarial Cross-Domain Action Recognition with Co-Attention
[Paper] Generative Adversarial Networks for Video-to-Video Domain Adaptation
[ICCV2019 Oral] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
[CVPRW 2019] Temporal Attentive Alignment for Video Domain Adaptation
[17 Nov 2022] Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
[15 Aug 2022] Unsupervised Video Domain Adaptation: A Disentanglement Perspective
[5 Aug 2019] Image to Video Domain Adaptation Using Web Supervision
[PSB 2024] PopGenAdapt: Semi-Supervised Domain Adaptation for Genotype-to-Phenotype Prediction in Underrepresented Populations
[ICASSP 2020] Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
[Paper] What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
[ICCV2019] Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
[Neurocomputing 2021] Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
[10 Mar 2022] On-the-Fly Test-time Adaptation for Medical Image Segmentation
[10 Mar 2023] Target and task specific source-free domain adaptive image segmentation
[arXiv 29 Aug 2019] Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
[arXiv on 24 Jan 2019] Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
[arXiv 14 Nov 2018] Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

Papers / Applications / Monocular Depth Estimation
[CVPR2019] Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
[CVPR2018] Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer

Papers / Applications / 3D
[ICCV2021] SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
[ICCV2021] Sparse-to-Dense Feature Matching: Intra and Inter Domain Cross-Modal Learning in Domain Adaptation for 3D Semantic Segmentation
[ICCV2021] Unsupervised Domain Adaptive 3D Detection With Multi-Level Consistency
[ICCV2019] Domain-Adaptive Single-View 3D Reconstruction
[Arxiv 11 Aug 2023] MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaptation in 3D Object Detection

Papers / Applications / Fine-Grained Domain
[CVPR2020] Progressive Adversarial Networks for Fine-Grained Domain Adaptation

Papers / Applications / LiDAR
[3DV 2024] SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
[ECCV2022] GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
[ECCV2022] CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
[13 Mar 2022] ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation

Papers / Applications / Remote Sensing
[GRSL 2023] Open-Set Black-Box Domain Adaptation for Remote Sensing Image Scene Classification

Papers / Applications / Others
[3DV 2021 Oral] RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation
[ICRA2022] Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters
[ICCV2021] RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
[ICCV2021] Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds
[ICCV2021] Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
[ICCV2021] PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
[ICCV2021] Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images
[ICCV2021] Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective
[ICCV2021] Adversarial Robustness for Unsupervised Domain Adaptation
[ICCV2021] Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation
[CVPR2021] Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval
[CVPR2021] Spatio-temporal Contrastive Domain Adaptation for Action Recognition
[CVPR2021] Regressive Domain Adaptation for Unsupervised Keypoint Detection
[CVPR2021] From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation
[ICCV Workshop 2021] Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
[NeurlPS 2020] 7 over 3 years ago Adapting Neural Architectures Between Domains
[ECCV2020] Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition
[ECCV2020] A Broader Study of Cross-Domain Few-Shot Learning
[ICML2020] Label-Noise Robust Domain Adaptation
[IJCAI2020] Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
[IJCAI2020] Domain Adaptation for Semantic Parsing
[IJCAI2020] Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation
[IJCAI2020] Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
[CVPR2020] Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects
[CVPR2020] One-Shot Domain Adaptation for Face Generation
[CVPR2020 Oral] Learning Meta Face Recognition in Unseen Domains
[CVPR2020] Cross-Domain Document Object Detection: Benchmark Suite and Method
[CVPR2020] StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
[CVPR2020] Domain Adaptation for Image Dehazing
[CVPR2020] Probability Weighted Compact Feature for Domain Adaptive Retrieval
[CVPR2020] Disparity-Aware Domain Adaptation in Stereo Image Restoration
[CVPR2020] Multi-Path Learning for Object Pose Estimation Across Domains
[ACM MM2019] Unsupervised Domain Adaptation for 3D Human Pose Estimation
[NeurIPS 2019] PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
[ICCV2019] Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces
[ICCV2019] Cross-Domain Adaptation for Animal Pose Estimation
[ICCV2019] GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
[IJCNN] Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning
[WWW2019] Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
[CVPR2018] Cross-Dataset Adaptation for Visual Question Answering
[DYCOPS2022] Cross-domain fault diagnosis through optimal transport for a CSTR process
[TIP2020] DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization
[Image and Vision Computing 2020] An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites
[JIntellManuf2020] Multi-source transfer learning of time series in cyclical manufacturing
[KBS2020] Domain adaptation for regression under Beer-Lambert's law
[11 Nov 2019] Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation
[arXiv 3 Jun 2019] DANE: Domain Adaptive Network Embedding
[arXiv 16 Apr 2019] Active Adversarial Domain Adaptation

Papers / Benchmarks
[PAA2023] Kurcuma: a kitchen utensil recognition collection for unsupervised domain adaptation
[ICCV Workshop 2021] Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
[ICCV Workshop 2021] LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
[arXiv 26 Jun] Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
[ICLR 2019] Benchmarking Neural Network Robustness to Common Corruptions and Perturbations (ImageNet-C)

Library
Transfer-Learning-Library 3,432 7 months ago
deep-transfer-learning: a PyTorch library for deep transfer learning 892 over 2 years ago
salad: a Semi-supervised Adaptive Learning Across Domains
Dassl: a PyTorch toolbox for domain adaptation and semi-supervised learning 1,217 about 1 year ago
joliGEN: an integrated framework for training custom generative AI image-to-image models 244 1 day ago

Lectures and Tutorials
[PDF] A Primer on Domain Adaptation

Other Resources
transferlearning 13,467 22 days ago

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