Awesome
NPL
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization
Summary
Getting Started
Datasets
| Dataset | Feature Backbone | Pre-Training | Link |
|---|---|---|---|
| ActivityNet | TSN | Kinetics-400 | Google Drive |
| THUMOS | TSN | Kinetics-400 | Google Drive |
| ActivityNet | I3D | Kinetics-400 | Google Drive |
| THUMOS | I3D | Kinetics-400 | Google Drive |
Training and Evaluation
Contact
Citation
If you find this project useful for your research, please use the following BibTeX entry.
@inproceedings{xia2023learning,
title={Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization},
author={Xia, Kun and Wang, Le and Zhou, Sanping and Hua, Gang and Tang, Wei},
booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
year={2023}
}