Comments (2)
Hi @Sunting78, Thanks for your interests. Table 4 actually report the number of learnable parameters, while in our model, self.prototypes
are non-learnable. P.s., though requires_grad
is set to True
in the code you refer to, it will be changed to False
immediately in the forward
function. It is same to directly set requires_grad=False
in the definition.
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@tfzhou Thanks for your reply. I got it.
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Related Issues (20)
- When will the code be released?
- Question regarding IoUs of pretrained HRNet Proto HOT 3
- Question about seed HOT 3
- Layernorm in Prototype learning HOT 1
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- intra-class prototypes is same. HOT 2
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- Question about code HOT 5
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- Question about loss HOT 5
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