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https://github.com/jx-zhong-for-academic-purpose/GCN-Anomaly-Detection
Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
https://github.com/jx-zhong-for-academic-purpose/GCN-Anomaly-Detection
Last synced: 14 days ago
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Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
- Host: GitHub
- URL: https://github.com/jx-zhong-for-academic-purpose/GCN-Anomaly-Detection
- Owner: jx-zhong-for-academic-purpose
- Created: 2019-02-25T02:28:04.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-07-26T10:16:24.000Z (over 2 years ago)
- Last Synced: 2024-08-02T08:10:14.373Z (4 months ago)
- Language: Python
- Homepage:
- Size: 56.6 KB
- Stars: 230
- Watchers: 14
- Forks: 43
- Open Issues: 16
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-gcn - jx-zhong-for-academic-purpose/GCN-Anomaly-Detection - and-play Action Classifier for Anomaly Detection. (Anomaly Detection:)
README
# GCN-Anomaly-Detection
[![LICENSE](https://img.shields.io/badge/license-Anti%20996-blue.svg)](https://github.com/996icu/996.ICU/blob/master/LICENSE)
Our source codes for the following paper at CVPR 2019:
## Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
```
@inproceedings{adgcn_cvpr19,
author = {Jia-Xing Zhong and
Nannan Li and
Weijie Kong and
Shan Liu and
Thomas H. Li and
Ge Li},
title = {Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2019}
}
```Our codes for feature extraction have been released! The training codes are also available as in the folder pygcn.