Dong Li, Lineng Chen, Cheng-Zhong Xu, Hui Kong†
University of Macau
†Corresponding Authors
This work is maintaining. You can hit the STAR and WATCH to follow the updates.
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2024-8-22: UMAD paper sharing on arXiv~
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2024/6/30: UMAD has been accepted by IROS 2024! Thanks to everyone who participated in this project!
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2024/3/21: We have publicly released a supplementary video for the paper submission.
- Make the project paper publicly available.
- Open-source the UMAD dataset.
- Open-source the UMAD-homo-eval dataset.
- Open-source the code related to the datasets.
The authors would like to thank the following people for their contributions to data collection and data annotation for this project: @Xiangyu QIN, @Shenbo WANG, @Kaijie YIN, @Shuhao ZHAI, @Xiaonan LI, @Beibei ZHOU, and @Hongzhi CHENG.
Our datasets and code is released under the MIT License (see LICENSE file for details).
If you find our work useful, please consider citing:
@article{li2024umad
author = {Li, Dong and Chen, Lineng and Xu, Cheng-Zhong and Kong, Hui},
title = {UMAD: University of Macau Anomaly Detection Benchmark Dataset},
journal = {arXiv preprint arXiv:2408.12527},
year = {2024},
}