This repository contains scripts and models for the Action Recognition benchmark of Assembly101.
If you use our dataset, kindly cite:
@article{sener2022assembly101,
title = {Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities},
author = {F. Sener and D. Chatterjee and D. Shelepov and K. He and D. Singhania and R. Wang and A. Yao},
journal = {CVPR 2022},
}
Assembly101 is licensed by us under the Creative Commons Attribution-NonCommerial 4.0 International License, found here. The terms are :
- Attribution : You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial : You may not use the material for commercial purposes.