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Could you please explain the idea of using ground truth labels in predictions before quality estimation? Does this approach have any target leaks?
The text was updated successfully, but these errors were encountered:
Hi, the code base of Anomaly Detection is from Anomaly Transformer. You may find this issue useful: thuml/Anomaly-Transformer#14
It is notable that the adjustment can be viewed as an evaluation protocol, which will not affect the training or model generating detection results.
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Could you please explain the idea of using ground truth labels in predictions before quality estimation?
Does this approach have any target leaks?
The text was updated successfully, but these errors were encountered: