-
|
In patchcore, for practical applications, if a positive sample is overchecked, I can add the overtested sample to the training set. But when it comes to missing an anomalous sample, there seems to be nothing I can do. Do you have any ideas? |
Beta Was this translation helpful? Give feedback.
Replies: 2 comments
-
|
You could add the anomalous sample to the abnormal validation data. So the threshold might be better adjusted during validation. |
Beta Was this translation helpful? Give feedback.
-
|
You can also try another model; it might work better than PatchCore (although it depends on your specific case, and the chances are not high, PatchCore is the best freely available model for now). I would suggest Reverse Distillation (available in Anomalib) or GLASS (not available in Anomalib yet). |
Beta Was this translation helpful? Give feedback.
You can also try another model; it might work better than PatchCore (although it depends on your specific case, and the chances are not high, PatchCore is the best freely available model for now). I would suggest Reverse Distillation (available in Anomalib) or GLASS (not available in Anomalib yet).