https://github.com/IsaacChanghau/VSLNet
공식 코드Span-based Localizing Network for Natural Language Video Localization
Papers with Code 아카이브
Temporal Sentence Grounding
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Temporal sentence grounding (TSG) aims to locate a specific moment from an untrimmed video with a given natural language query. For this task, different levels of supervision are used. 1) Weak supervision: video-level action category set; 2) Semi-weak supervision: video-level action category set, and action annotations at several timestamps; 3) Full supervision: Action category and action interval annotations of all actions in untrimmed videos.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Pilhyeon/BAM-DETR
공식 코드BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos
https://github.com/keflanagan/climer
공식 코드Learning Temporal Sentence Grounding From Narrated EgoVideos
https://github.com/mcg-nju/mmn
공식 코드Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
https://github.com/qzhb/bssard
공식 코드https://github.com/rd20karim/synch-transformer
공식 코드Transformer with Controlled Attention for Synchronous Motion Captioning
https://github.com/renjie-liang/emet
공식 코드Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation
https://github.com/sczwangxiao/tsgvs-mm2023
공식 코드https://github.com/solicucu/d3g
공식 코드D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
https://github.com/sunoh-kim/pps
공식 코드https://github.com/tensorssun/rgtr
공식 코드Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding
https://github.com/whb139426/grounded-video-llm
공식 코드Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
https://github.com/yytzsy/SCDM
공식 코드Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
https://github.com/zijialewislu/cvpr2025-decafnet
공식 코드DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
https://github.com/aim3-ruc/youmakeup_challenge2022
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
https://github.com/mayu-ot/hidden-challenges-MR
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval
https://github.com/minghangz/cpl
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.