Comments (5)
SOTA backbones model : models which are trained by the SOTA backbones with the same head, i.e. MV-Softmax.
SOTA heads model : models which are trained by the SOTA heads with the same backbone, i.e. MobileFaceNet.
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@wang21jun I got it!
Thank you for your clear answer.
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If I just want to train head, not re-train the backbone in my custom dataset. How can i solve it?
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If I just want to train head, not re-train the backbone in my custom dataset. How can i solve it?
You can search keyword freezing backbone pytorch.
Specifically, you can set requires_grad = False for the whole learnable parameters of the backbone. But the easiest way is just putting the parameters of head into the optimizer but not the params of backbone.
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@vietth-bka thank you!
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