HRDA

Domain Adaptation Framework

A framework for unsupervised domain adaptation in semantic segmentation using multi-resolution training and learned scale attention.

[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

GitHub

235 stars
4 watching
32 forks
Language: Python
last commit: 3 months ago
attentionhigh-resolutionmulti-resolutionsemantic-segmentationtransformerunsupervised-domain-adaptation

Related projects:

Repository Description Stars
chrisallenming/ltc-msda An implementation of a knowledge aggregation method for adapting to multiple domains using a graph-based framework. 68
wasidennis/adaptsegnet This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. 849
lhoyer/mic An unsupervised domain adaptation method that uses contextual information to improve performance on visual recognition tasks 269
domainadaptation/salad A toolbox for comparing and running domain adaptation algorithms on different datasets. 333
naoto0804/cross-domain-detection Develops object detection algorithms to adapt to new domains with limited supervision 422
easezyc/deep-transfer-learning A collection of implementations of algorithms to adapt deep learning models from one domain to another 892
bupt-ai-cz/meta-selflearning Develops a method to improve performance of computer vision tasks by adapting models to new domains and data sources through meta-learning and self-learning techniques. 199
wenkehuang/rethinkfl Improves federated learning performance by incorporating domain knowledge and regularization to adapt models across diverse domains 91
tobypde/frrn A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks 280
tsingz0/dbe This implementation of a federated learning method aims to reduce domain bias in representation space, enabling more efficient knowledge transfer between clients and servers. 22
msracver/fcis An implementation of a deep learning framework for instance-aware semantic segmentation 1,566
zijundeng/pytorch-semantic-segmentation Provides PyTorch implementations of various models and pipelines for semantic segmentation in deep learning. 1,724
deepset-ai/farm An open-source framework for adapting representation models to various tasks and industries 1,741
jhoelzl/hrtf-individualization A tool for customizing head-related transfer functions to improve localization accuracy in audio applications. 63
layumi/seg-uncertainty A deep learning framework for unsupervised scene adaptation with memory regularization and pseudo label learning via uncertainty estimation 387