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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
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About the anomaly number #8

Closed poweryin closed 5 years ago

poweryin commented 5 years ago

Hi,Thanks for your great work.Since there is no test code, I can't see the result. So I have a question to verify my thoughts.I have a question.If there are two different types of anomaly events in a video, Can this model detect two different anomalies ? Looking forward to your reply Best Wishes Thanks

jx-zhong-for-academic-purpose commented 5 years ago

Conceptually, it can. However, the standard task setting is a binary classification problem. In the experiment, we just comply with this setting.

poweryin commented 5 years ago

Ok, Thank you very much for your reply, I understand. Best Wishes