facebookresearch/video-distant-supervision
This is an official pytorch implementation of Learning To Recognize Procedural Activities with Distant Supervision. In this repository, we provide PyTorch code for training and testing as described in the paper. The proposed distant supervision framework achieves strong generalization performance on step classification, recognition of procedural activities, step forecasting (New Task!) and egocentric activity classification.
PythonNOASSERTION
Stargazers
- 17Skye17National Institute of Informatics
- afourastNew York
- Ariel-JUAN
- ChazzyGordon
- EstebanExplorerRionegro - Colombia
- FlaickUniversity of Strasbourg & Technical University of Munich
- fly51flyPRIS
- ggsonic
- GitHub30Osaka, Japan
- huamichaelchenLifeXMetric
- HuazhangHuShanghaiTech University
- idejiePeking University
- junwenchen
- katherine-smily
- lukaemonWA
- luomingshuangICT, UCAS, Peng Cheng Lab
- medhiniUC Berkeley
- mumtozeeYandex
- ninatuGoethe University Frankfurt
- oyly16University of Tokyo
- PKUCSSAlibaba Inc
- RenShuhuai-AndyPeking University
- rohit-guptaUniversity of Central Florida
- sailordiaryChinese Academy of Sciences
- SaiTarunChandrupatlaStony Brook University
- ShipingGeGuangzhou
- SoumyaRSethi
- TengdaHanOxford, UK
- tomchen-ctj
- VincentqywTHU
- XudongLinthuColumbia University
- YTEP-ZHI@OpenDriveLab
- yuchongy1University of Melbourne
- Yuhan-ShenBoston
- yuleiniuColumbia University
- yuxiaochen1103