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Action Assessment

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

3

보존된 평가 기록

4

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ChenFengYe/SportsCap

공식 코드

SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos

https://github.com/ParitoshParmar/Fitness-AQA

공식 코드

Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment

https://github.com/Shunli-Wang/TSA-Net

공식 코드

TSA-Net: Tube Self-Attention Network for Action Quality Assessment

https://github.com/iSEE-Laboratory/Continual-AQA

공식 코드

Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling

https://github.com/qinghuannn/ACTION-NET

공식 코드

Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos

https://github.com/MindSpore-scientific-2/code-10/tree/main/TSA_mindspore

TSA-Net: Tube Self-Attention Network for Action Quality Assessment

https://github.com/MindSpore-scientific/code-13/tree/main/TSA_mindspore

TSA-Net: Tube Self-Attention Network for Action Quality Assessment

https://github.com/bruceyo/EGCN

https://github.com/lingan1996/ACTION-NET

Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos

https://github.com/pwc-1/Paper-9/tree/main/4/TSA_mindspore

TSA-Net: Tube Self-Attention Network for Action Quality Assessment

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.