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Hi, I am training/testing your model on a fight detection dataset, and I found a strange behavior:
Here are two examples. Red curves are output scores, and green curves are ground truths. So for an anomaly video (i.e. contains a fight event), there are always peaks at the start and the end of the video, no matter whether there is a fight happening at those points or not. I consider this to be closely relevant to your methods to calculate anomaly scores. Could you please help me explain this? Thanks!
The text was updated successfully, but these errors were encountered:
Hi, I am training/testing your model on a fight detection dataset, and I found a strange behavior:
Here are two examples. Red curves are output scores, and green curves are ground truths. So for an anomaly video (i.e. contains a fight event), there are always peaks at the start and the end of the video, no matter whether there is a fight happening at those points or not. I consider this to be closely relevant to your methods to calculate anomaly scores. Could you please help me explain this? Thanks!
The text was updated successfully, but these errors were encountered: