Papers with Code 아카이브
Action Anticipation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 8
- 보존된 평가 기록
- 39
Next action anticipation is defined as observing 1, ... , T frames and predicting the action that happens after a gap of T_a seconds. It is important to note that a new action starts after T_a seconds that is not seen in the observed frames. Here T_a=1 second.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zch-yu/epic-affordance-annotation
공식 코드Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos
https://github.com/zeyun-zhong/afft
공식 코드Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation
https://github.com/zhanghaotong1/wslvideodenseanticipation
공식 코드https://github.com/zhaoyue-zephyrus/testra
공식 코드Real-time Online Video Detection with Temporal Smoothing Transformers
https://github.com/ParitoshParmar/HalluciNet--PyTorch
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
https://github.com/antoninofurnari/rulstm
https://github.com/corcovadoming/mpnnel
https://github.com/dipika-singhania/multi-scale-action-banks
Temporal Aggregate Representations for Long-Range Video Understanding
https://github.com/epic-kitchens/C1-Action-Recognition-TSN-TRN-TSM
https://github.com/epic-kitchens/annotations
https://github.com/epic-kitchens/epic-kitchens-55-annotations
https://github.com/epic-kitchens/epic-kitchens-slowfast
https://github.com/gongda0e/futr
https://github.com/jonmun/EPIC-KITCHENS-100_UDA_TA3N
https://github.com/lahaproject/inavit
Interaction Region Visual Transformer for Egocentric Action Anticipation
https://github.com/mangalutsav/Multi-Stage-LSTM-for-Action-Anticipation
https://github.com/mustafa1728/TA3N-Lightning
https://github.com/rajskar/CS763Project
RED: Reinforced Encoder-Decoder Networks for Action Anticipation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.