lujiaxuan0520/THU-EACT-50
A real-world event-based action recognition benchmark released by the paper "Action Recognition and Benchmark Using Event Cameras" in TPAMI 2023.
PythonNOASSERTION
Stargazers
- 0Lemon
- 2264381489
- AIKUNIJava Land
- aisen567Tokyo, Japan
- chenqiuying1023
- CodecraftArtist
- DeanJY
- Descartes-Stan
- fiaioGospa od Škrpjela
- Hazelu1努力找工作中
- hushengwang1999
- JacksonRed
- JamesYang110043
- keithwym西北民族大学
- kourim88
- lujiaxuan0520Tsinghua University
- LYZJU2019LinkedIn
- melbjerry
- MikeOleg
- MrFisher97
- px39nGermany
- QgZhan
- QiWang233Xidian University
- qtw1998University of Bristol, UK
- saratrajputHonda R&D
- StevenNealDallas, TX
- SugarMoeShanghai
- tifoit
- tlwzzyDLUT
- usherasnickSenseTime
- Vidhi1290Data Science meets Cyber security
- wangxiao5791509Anhui University (安徽大学)
- wensiyuansixRoamResearch Inc.
- X-LEFTTaiyuan,China
- yeah2311
- youngstear