Video-Text Retrieval
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Benchmarks
Test-of-Time
Most implemented
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
Papers
R^3: Composed Video Retrieval via Reasoning-Guided Recalling and Re-ranking
The CoVR-R challenge evaluates composed video retrieval, where a system must retrieve a target video from a large gallery given a reference video and a textual edit instruction. This setting is not a standard video-text …
Video-Text RetrievalVideo RetrievalOmniRetriever: Any-to-Any Audio-Video-Text Retrieval via Fusion-as-Teacher Distillation
Unified multimodal embedding spaces have become the standard interface for cross-modal retrieval and multimodal RAG, and recent audio-video-text (AVT) encoders extend this setting to three modalities. Such encoders can p…
Cross-Modal RetrievalVideo-Text RetrievalTempRet: Temporal Enhancement and Two-Stage Reranking for CVPR 2026 EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge
Video-text retrieval has witnessed remarkable progress driven by large-scale vision-language pretraining, yet most existing approaches inherit an implicit assumption from image-text retrieval: that visual semantics can b…
Video-Text RetrievalImage-text matchingVideo RetrievalUSV: Towards Understanding the User-generated Short-form Videos
Several large-scale video datasets have been published these years and have advanced the area of video understanding. However, the newly emerged user-generated short-form videos have rarely been studied. This paper prese…
Video-Text RetrievalContrastive LearningCluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining
Large-scale video-language pretraining enables strong generalization across multimodal tasks but often incurs prohibitive computational costs. Although recent advances in masked visual modeling help mitigate this issue, …
Video Question AnsweringVideo-Text RetrievalVideo CaptioningSAVE: Speech-Aware Video Representation Learning for Video-Text Retrieval
For video-text retrieval, the use of CLIP has been a de facto choice. Since CLIP provides only image and text encoders, this consensus has led to a biased paradigm that entirely ignores the sound track of videos. While s…
Representation LearningVideo-Text Retrieval