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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How to get per-frame test result? #22

Open MoonBlvd opened 4 years ago

MoonBlvd commented 4 years ago

Hi,

Thank you for providing the code for this great paper! I'm wondering how can I get the per-frame anomaly detection results? According to the paper, the C3D provides per-snippet prediction, but the final evaluation is using per-frame AUC. I wonder how did you populate the per-snippet prediction to per-frame?

Figure 6 actually shows that the anomaly detection is smooth so I'm assuming there is a filtering method or so?

P.s. it woudl be helpful to know the snippet size you used in your paper...

Thank you, Brian