Comments (1)
ByChelsea
commented on June 19, 2024
1
Sorry for the late reply.
We hope that the added linear layers learn a general mapping, rather than one that is specific to a particular dataset. Therefore, when training reaches a certain point, continued reduction in loss may lead to decreased generalization, which is not desirable.
It is worth noting that it's indeed challenging to determine the best time to stop training, which is a problem faced by all fine-tuning zero-shot methods currently (AnomalyCLIP, CLIP-AD). I suggest using three different datasets for train, valid, and test respectively, as a intuitive solution. I also look forward to future works addressing this issue.
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Related Issues (20)
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- Few Shot is just One Shot here? HOT 2
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