awesome-video-text-retrieval

Video-text retrieval techniques

A curated list of resources and papers on deep learning techniques for text-video retrieval tasks

A curated list of deep learning resources for video-text retrieval.

GitHub
593 stars
20 watching
67 forks
last commit: about 1 year ago
Linked from 1 awesome list


Awesome Video-Text Retrieval by Deep Learning / Implementations
hybrid_space 87 almost 2 years ago
dual_encoding 155 almost 2 years ago
w2vvpp 28 4 months ago
Mixture-of-Embedding-Experts 118 over 4 years ago
howto100m 250 over 4 years ago
collaborative 336 almost 2 years ago
hgr 209 over 4 years ago
coot 288 about 2 years ago
mmt 258 about 1 month ago
ClipBERT 704 over 1 year ago
jsfusion 31 about 6 years ago
w2vv 69 almost 5 years ago (Keras)
Extracting CNN features from video frames by MXNet 31 over 2 years ago

Awesome Video-Text Retrieval by Deep Learning / Papers / 2023
[paper] CLIPPING: Distilling CLIP-Based Models with a Student Base for Video-Language Retrieval. CVPR, 2023
[paper] SViTT: Temporal Learning of Sparse Video-Text Transformers. CVPR, 2023
[paper] Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval. CVPR, 2023
[paper] MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. CVPR, 2023
[paper] All in One: Exploring Unified Video-Language Pre-Training. CVPR, 2023
[paper] IMAGEBIND: One Embedding Space To Bind Them All. CVPR, 2023
[paper] VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval. CVPR, 2023
[paper] LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling. CVPR, 2023
[paper] Clover: Towards a Unified Video-Language Alignment and Fusion Model. CVPR, 2023
[paper] Seeing What You Miss: Vision-Language Pre-Training With Semantic Completion Learning. CVPR, 2023
[paper] CNVid-3.5M: Build, Filter, and Pre-train the Large-scale Public Chinese Video-text Dataset. CVPR, 2023
[paper] Cali-NCE: Boosting Cross-Modal Video Representation Learning With Calibrated Alignment. CVPRWorkshop, 2023
[paper] Using Multimodal Contrastive Knowledge Distillation for Video-Text Retrieval. TCSVT, 2023

Awesome Video-Text Retrieval by Deep Learning / Papers / 2022
[homepage] Partially Relevant Video Retrieval. ACM Multimedia, 2022
[paper] Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning. ACM Multimedia, 2022
[paper] Learn to Understand Negation in Video Retrieval. ACM Multimedia, 2022
[paper] A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval. ACM Multimedia, 2022
[paper] X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval. ACM Multimedia, 2022
[paper] Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval. ECCV, 2022
[paper] TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval. ECCV, 2022
[paper] Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval. TCSVT, 2022
[paper] Align and Prompt: Video-and-Language Pre-training with Entity Prompts, CVPR, 2022
[paper] Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval. CVPR, 2022
[paper] Bridging Video-text Retrieval with Multiple Choice Questions. CVPR, 2022
[paper] Temporal Alignment Networks for Long-term Video. CVPR.2022
[paper] X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval. CVPR, 2022
[paper] LGDN: Language-Guided Denoising Network for Video-Language Modeling. NIPS, 2022
[paper] Animating Images to Transfer CLIP for Video-Text Retrieval. SIGIR, 2022
[paper] CenterCLIP: Token Clustering for Efficient Text-Video Retrieval. SIGIR, 2022
[paper] Cross-Modal Discrete Representation Learning. ACL, 2022
[paper] Masking Modalities for Cross-modal Video Retrieval. WACV, 2022
[paper] Visual Consensus Modeling for Video-Text Retrieval. AAAI, 2022
[paper] Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss. AAAI, 2022
[paper] Many Hands Make Light Work: Transferring Knowledge from Auxiliary Tasks for Video-Text Retrieval. IEEE Transactions on Multimedia, 2022
[paper] Exposing the Limits of Video-Text Models through Contrast Sets. NAACL, 2022
[paper] Adversarial Multi-Grained Embedding Network for Cross-Modal Text-Video Retrieval. TOMM, 2022
[paper] LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval. arXiv:2207.04858, 2022
[paper] A CLIP-Hitchhiker's Guide to Long Video Retrieval. arXiv:2205.08508, 2022
[paper] CLIP2TV: Align, Match and Distill for Video-Text Retrieval. arXiv:2111.05610, 2022
[paper] Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations. arXiv:2204.03382, 2022

Awesome Video-Text Retrieval by Deep Learning / Papers / 2021
[paper] Dual Encoding for Video Retrieval by Text. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
[paper] Universal Weighting Metric Learning for Cross-Modal Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
[paper] Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling. CVPR, 2021
[paper] On Semantic Similarity in Video Retrieval. CVPR, 2021
[paper] Learning the Best Pooling Strategy for Visual Semantic Embedding. CVPR, 2021
[paper] T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval. CVPR, 2021
[paper] Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers. CVPR, 2021
[paper] Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval. CVPR, 2021
[paper] Multimodal Clustering Networks for Self-Supervised Learning from Unlabeled Videos. ICCV, 2021
[paper] TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval. ICCV, 2021
[paper] TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. ICCV, 2021
[paper] Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval. ICCV, 2021
[paper] COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation. ICCV, 2021
[paper] CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising. ACM Multimedia, 2021
[paper] HANet: Hierarchical Alignment Networks for Video-Text Retrieval. ACM Multimedia, 2021
[paper] Progressive Semantic Matching for Video-Text Retrieval. ACM Multimedia, 2021
[paper] Fine-grained Cross-modal Alignment Network for Text-Video Retrieval. ACM Multimedia, 2021
[paper] Meta Self-Paced Learning for Cross-Modal Matching. ACM Multimedia, 2021
[paper] Support-set Bottlenecks for Video-text Representation Learning. ICLR, 2021
[paper] Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval. IEEE Transactions on Image Processing, 2021
[paper] Spatial-temporal Graphs for Cross-modal Text2Video Retrieval. IEEE Transactions on Multimedia, 2021
[paper] Multi-level Alignment Network for Domain Adaptive Cross-modal Retrieval. Neurocomputing, 2021
[paper] Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval. SIGIR, 2020
[paper] Improving Video Retrieval by Adaptive Margin. SIGIR, 2021
[paper] Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment. IJCAI, 2021
[paper] Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval. AAAI, 2021
[paper] What Matters: Attentive and Relational Feature Aggregation Network for Video-Text Retrieval. ICME, 2021
[paper] Multi-Dimensional Attentive Hierarchical Graph Pooling Network for Video-Text Retrieval. ICME, 2021
[paper] Semantic-Preserving Metric Learning for Video-Text Retrieval. IEEE International Conference on Image Processing, 2021
[paper] Multi-Feature Graph Attention Network for Cross-Modal Video-Text Retrieval. ICMR, 2021
[paper] HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval. arXiv:2103.15049, 2021
[paper] VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. arXiv:2104.11178 , 2021
[paper] CLIP2Video: Mastering Video-Text Retrieval via Image CLIP. arXiv:2106.11097, 2021
[paper] CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. arXiv:2104.08860, 2021
[paper] Align and Prompt: Video-and-Language Pre-training with Entity Prompts. arXiv:2112.09583, 2021

Awesome Video-Text Retrieval by Deep Learning / Papers / 2020
[paper] Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. SIGIR, 2020
[paper] COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. NeurIPS, 2020
[paper] Multi-modal Transformer for Video Retrieval. ECCV, 2020
[paper] SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries. IEEE Transactions on Multimedia, 2020
[paper] Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval. IEEE Transactions on Multimedia, 2020
[paper] Interclass-Relativity-Adaptive Metric Learning for Cross-Modal Matching and Beyond. IEEE Transactions on Multimedia, 2020
[paper] Interpretable Embedding for Ad-Hoc Video Search. ACM Multimedia, 2020
[paper] Exploiting Visual Semantic Reasoning for Video-Text Retrieval. IJCAI, 2020
[paper] Universal Weighting Metric Learning for Cross-Modal Retrieval. CVPR, 2020
[paper] Action Modifiers: Learning from Adverbs in Instructional Videos. CVPR, 2020
[paper] Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning. CVPR, 2020
[paper] ActBERT: Learning Global-Local Video-Text Representations. CVPR, 2020
[paper] End-to-End Learning of Visual Representations From Uncurated Instructional Videos. CVPR, 2020
[paper] Stacked Convolutional Deep Encoding Network For Video-Text Retrieval. ICME, 2020
[paper] UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation. arXiv:2002.06353, 2020

Awesome Video-Text Retrieval by Deep Learning / Papers / 2019
[paper] Dual Encoding for Zero-Example Video Retrieval. CVPR, 2019
[paper] Polysemous visual-semantic embedding for cross-modal retrieval. CVPR, 2019
[paper] Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. ICCV, 2019
[paper] A Graph-Based Framework to Bridge Movies and Synopses. ICCV, 2019
[paper] W2VV++ Fully Deep Learning for Ad-hoc Video Search. ACM Multimedia, 2019
[paper] Use What You Have: Video Retrieval Using Representations From Collaborative Experts. MBVC, 2019
[paper] From Intra-Modal to Inter-Modal Space: Multi-Task Learning of Shared Representations for Cross-Modal Retrieval. International Conference on Multimedia Big Data, 2019

Awesome Video-Text Retrieval by Deep Learning / Papers / 2018
[paper] Predicting visual features from text for image and video caption retrieval. IEEE Transactions on Multimedia, 2018
[paper] Cross-Modal and Hierarchical Modeling of Video and Text. ECCV, 2018
[paper] A Joint Sequence Fusion Model for Video Question Answering and Retrieval. ECCV, 2018
[paper] Find and focus: Retrieve and localize video events with natural language queries. ECCV, 2018
[paper] Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval. ICMR, 2018
[paper] Learning a Text-Video Embedding from Incomplete and Heterogeneous Data. arXiv preprint arXiv:1804.02516, 2018

Awesome Video-Text Retrieval by Deep Learning / Papers / Before
[paper] End-to-end concept word detection for video captioning, retrieval, and question answering. CVPR, 2017
[paper] Learning joint representations of videos and sentences with web image search. ECCV Workshop, 2016
[paper] Jointly modeling deep video and compositional text to bridge vision and language in a unified framework. AAAI, 2015

Awesome Video-Text Retrieval by Deep Learning / Papers / Ad-hoc Video Search
TRECVID For the papers targeting at ad-hoc video search in the context of , please refer to

Awesome Video-Text Retrieval by Deep Learning / Papers / Other Related
[paper] AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech, 2021
[paper] Learning Spatiotemporal Features via Video and Text Pair Discrimination. arXiv preprint arXiv:2001.05691, 2020

Awesome Video-Text Retrieval by Deep Learning / Datasets
[paper] David et al. Collecting Highly Parallel Data for Paraphrase Evaluation. ACL, 2011
[paper] Xu et al. MSR-VTT: A Large Video Description Dataset for Bridging Video and Language. CVPR, 2016
[paper] Li et al. TGIF: A new dataset and benchmark on animated GIF description. CVPR, 2016
[paper] Awad et al. Trecvid 2016: Evaluating video search, video event detection, localization, and hyperlinking. TRECVID Workshop, 2016
[paper] Rohrbach et al. Movie description. IJCV, 2017
[paper] Krishna et al. Dense-captioning events in videos. ICCV, 2017
[paper] Hendricks et al. Localizing Moments in Video with Natural Language. ICCV, 2017
[paper] Miech et al. HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. ICCV, 2019
[paper] Wang et al. VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. ICCV, 2019

Backlinks from these awesome lists:

More related projects: