https://github.com/ailab-kyunghee/HiCM2-DVC
HiCM$^2$: Hierarchical Compact Memory Modeling for Dense Video Captioning
Papers with Code 아카이브
Dense Video Captioning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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Most natural videos contain numerous events. For example, in a video of a “man playing a piano”, the video might also contain “another man dancing” or “a crowd clapping”. The task of dense video captioning involves both detecting and describing events in a video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aim3-ruc/youmakeup_challenge2022
https://github.com/antoyang/VidChapters
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
https://github.com/cskanani/global_object_proposals
https://github.com/jyrao/MatchTime
SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries
https://github.com/jyrao/UniSoccer
SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries
https://github.com/salesforce/densecap
https://github.com/ttengwang/ESGN
https://github.com/v-iashin/video_features
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.