query-selected-attention
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Problems of PatchNCELoss
Hi, thanks for your excellent work.
In PatchNCELoss , the dim of input feat_q and feat_k is what and each dim means?
The dim is the channel dimmension of feat_q and feat_k.
i means feat_q and feat_k dim ,is B * C * W * H?or other?and each dim means?
The dimmension is (B x num_patches) x C, (B x num_patches) means the number of features and C means channel.
thanks for your answer.
this feat_id is means?

the output dim of this netG?and each dim means?
Look forward to your answer!!