https://github.com/jpthu17/diffusionret
공식 코드DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
Papers with Code 아카이브
Video Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 19
- 보존된 평가 기록
- 308
The objective of video retrieval is as follows: given a text query and a pool of candidate videos, select the video which corresponds to the text query. Typically, the videos are returned as a ranked list of candidates and scored via document retrieval metrics.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jpthu17/emcl
공식 코드Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
https://github.com/ju-chen/Efficient-Prompt
공식 코드Prompting Visual-Language Models for Efficient Video Understanding
https://github.com/jy0205/stcat
공식 코드Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
https://github.com/kennymckormick/transrank
공식 코드https://github.com/kevinliang888/ivr-qa-baselines
공식 코드Simple Baselines for Interactive Video Retrieval with Questions and Answers
https://github.com/kkzhang95/awesome-composed-multi-modal-retrieval
공식 코드Composed Multi-modal Retrieval: A Survey of Approaches and Applications
https://github.com/klauscc/vindlu
공식 코드VindLU: A Recipe for Effective Video-and-Language Pretraining
https://github.com/knightyxp/dgl
공식 코드DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval
https://github.com/kpeng9510/ravar
공식 코드https://github.com/laura-wang/video-pace
공식 코드Self-supervised Video Representation Learning by Pace Prediction
https://github.com/laura-wang/video_repres_sts
공식 코드Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
https://github.com/layer6ai-labs/xpool
공식 코드X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval
https://github.com/leaplabthu/cross-modal-adapter
공식 코드https://github.com/leeyn-43/clover
공식 코드Clover: Towards A Unified Video-Language Alignment and Fusion Model
https://github.com/leolee99/pau
공식 코드Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
https://github.com/leon1207/video-rag-master
공식 코드Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
https://github.com/li-xirong/sea
공식 코드SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
https://github.com/lijiabei-7/rivrl
공식 코드Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
https://github.com/lijiaxiuHFUT/DPTMO
공식 코드Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding
https://github.com/lilidamowang/t2vindexer-generativesearch
공식 코드T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval
https://github.com/linjieli222/HERO
공식 코드HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
https://github.com/lionel-hing/bic-net
공식 코드BiC-Net: Learning Efficient Spatio-Temporal Relation for Text-Video Retrieval
https://github.com/lionel-hing/vsr-net
공식 코드BiC-Net: Learning Efficient Spatio-Temporal Relation for Text-Video Retrieval
https://github.com/longtaojiang/seds
공식 코드SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval
https://github.com/love481/Cross-modal-Contrastive-Learning-with-Asymmetric-Co-attention-Network-for-Video-Moment-Retrieval
공식 코드Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment Retrieval
https://github.com/lucaro/v3c-language-analysis
공식 코드https://github.com/lucas-ventura/CoVR
공식 코드CoVR-2: Automatic Data Construction for Composed Video Retrieval
https://github.com/ludanruan/clip4vla
공식 코드Accommodating Audio Modality in CLIP for Multimodal Processing
https://github.com/lunarshen/dsicovla
공식 코드https://github.com/lyuchenyang/dialogue-to-video-retrieval
공식 코드https://github.com/lzhangbj/DualVar
공식 코드Inter-intra Variant Dual Representations forSelf-supervised Video Recognition
https://github.com/m-bain/clip-hitchhiker
공식 코드https://github.com/m-bain/frozen-in-time
공식 코드Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
https://github.com/marmot-xy/spoken-video-grounding
공식 코드https://github.com/martinetoering/ViCC
공식 코드Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.