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

• 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
• 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.