Papers with Code 아카이브
Video Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 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/pshams55/AMIL
공식 코드AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
https://github.com/psmmettes/object-priors-unseen-actions
공식 코드https://github.com/pytorch/fairseq
공식 코드VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
https://github.com/qiujihao19/artemis
공식 코드Artemis: Towards Referential Understanding in Complex Videos
https://github.com/quangtrungtruong/KIS_MVK
공식 코드Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and Retrieval
https://github.com/qyr0403/reversed-in-time
공식 코드Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text Retrieval
https://github.com/raghavgoyal14/minotaur/tree/rgv/all-tasks
공식 코드MINOTAUR: Multi-task Video Grounding From Multimodal Queries
https://github.com/rd20karim/synch-transformer
공식 코드Transformer with Controlled Attention for Synchronous Motion Captioning
https://github.com/renshuhuai-andy/testa
공식 코드TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding
https://github.com/renshuhuai-andy/timechat
공식 코드TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
https://github.com/rerv/uniadapter
공식 코드UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
https://github.com/roc-ng/var
공식 코드Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
https://github.com/roudimit/c2kd
공식 코드C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval
https://github.com/ruc-aimc-lab/laff
공식 코드Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
https://github.com/ruc-aimc-lab/nt2vr
공식 코드https://github.com/rvl-lab-utoronto/video_similarity_search
공식 코드SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos
https://github.com/salesforce/alpro
공식 코드Align and Prompt: Video-and-Language Pre-training with Entity Prompts
https://github.com/sangminwoo/explore-and-match
공식 코드https://github.com/sch971111/mof
공식 코드Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames
https://github.com/sejong-rcv/VVS
공식 코드VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
https://github.com/seleucia/goca
공식 코드GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning
https://github.com/showlab/all-in-one
공식 코드https://github.com/showlab/demovlp
공식 코드Revitalize Region Feature for Democratizing Video-Language Pre-training of Retrieval
https://github.com/showlab/egovlp
공식 코드https://github.com/showlab/movieseq
공식 코드https://github.com/shuyanzhou/wikihow_hierarchy
공식 코드Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data
https://github.com/sming256/timeloc
공식 코드TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos
https://github.com/soccernet/sn-calibration
공식 코드https://github.com/soccernet/sn-grounding
공식 코드https://github.com/soccernet/sn-reid
공식 코드https://github.com/soccernet/sn-spotting
공식 코드https://github.com/soccernet/sn-tracking
공식 코드https://github.com/songpipi/amdnet
공식 코드Towards Efficient Partially Relevant Video Retrieval with Active Moment Discovering
https://github.com/stanlei52/aqvsr
공식 코드AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant
https://github.com/stanlei52/tqvsr
공식 코드AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.