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Actually, I don't know why most one stage detectors use sigmoid classifier even though COCO is a multi-classification task. Do you have a more reasonable explanation?I'm really confused about it. And could FCOS-based detector use softmax classifier? I'm applying FCOS-based detector(similar to VarifocalNet) to logo detection ( the num of categories could be 1000). But I get many false positives at the same position(with different categories). I think this might be the reason for using the sigmoid classifier(instead of softmax classifier).
So I want to use softmax classifier in FCOS, but I'm worried that the varifocal loss can only work on sigmoid classifier, is that so?
The text was updated successfully, but these errors were encountered:
Actually, I don't know why most one stage detectors use sigmoid classifier even though COCO is a multi-classification task. Do you have a more reasonable explanation?I'm really confused about it. And could FCOS-based detector use softmax classifier? I'm applying FCOS-based detector(similar to VarifocalNet) to logo detection ( the num of categories could be 1000). But I get many false positives at the same position(with different categories). I think this might be the reason for using the sigmoid classifier(instead of softmax classifier).
So I want to use softmax classifier in FCOS, but I'm worried that the varifocal loss can only work on sigmoid classifier, is that so?
The text was updated successfully, but these errors were encountered: