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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

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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

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# 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.