Video Retrieval
19개 벤치마크 · 논문 585편 · 이 태스크의 논문 보기 →
Benchmarks
MSR-VTT-1kA
MSR-VTT
DiDeMo
LSMDC
ActivityNet
MSVD
FIVR-200K
YouCook2
VATEX
QuerYD
SSv2-label retrieval
SSv2-template retrieval
Condensed Movies
EgoExoLearn
TGIF
TVR
Charades-STA
MSVD-Indonesian
RUDDER
Most implemented
CoCa: Contrastive Captioners are Image-Text Foundation Models
ECO: Efficient Convolutional Network for Online Video Understanding
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
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
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data
Papers
World Embedding Benchmark
Physical fidelity has received increasing attention in world models and video generation, yet how video representations encode physical information remains less understood. We introduce the World Embedding Benchmark, com…
Video GenerationVideo RetrievalMulti-modal Knowledge Preserving Adapter for Embedding Backward Compatibility
Upgrading embedding models typically requires expensive database re-indexing, as new query embeddings are incompatible with existing database embeddings. While Backward Compatible Training (BCT) mitigates this by enforci…
Video RetrievalBeyond Similarity: Foundation Models as an Efficient Backbone for Training-Free Composed Video Retrieval
Composed video retrieval (CoVR) searches a gallery for the target video that realizes a natural-language modification of a source clip. However, at gallery scale, this creates a fundamental tension: compact embeddings en…
Video RetrievalTraVEL: Trajectory-Guided Video Embedding Learning for Driving-Video Retrieval
Efficiently retrieving relevant clips from large-scale driving logs is essential for data curation, model development, and safety analysis. Structured and rule-based retrieval systems can explicitly target driving events…
Video RetrievalDistribution-Alignment Bridge for Uncertainty-Aware Text-to-Video Retrieval
This paper proposes the Distribution-Alignment Bridge (DAB), a framework that reconceptualizes text-to-video retrieval as a distribution alignment task rather than traditional deterministic point matching. By modeling bo…
Video RetrievalVEGAS: Human-Aligned Video Caption Evaluation via Gaze
Vision-language models excel at video captioning, yet typically generate descriptions that fail to capture individual viewers' attention. We propose VEGAS (Video caption Evaluation via GAze Score), a training-free metric…
Video CaptioningVideo Retrieval