LiShuiYu

About the "pixpro_instance_loss" question ???

1

Thank you very much for your work and code sharing. In the Pixpro.py, I found that in "pixpro_instance_loss", 'pred_instance_1' has one more predictor layer than 'proj_instance_1_ng'. I don’t quite understand...

@bfan @caozhangjie

1

@bfan @caozhangjie I add the weight in pytorch version(without c). ``` def pairwise_loss(outputs1,outputs2,label1,label2): similarity = Variable(torch.mm(label1.data.float(), label2.data.float().t()) > 0).float() dot_product = torch.mm(outputs1, outputs2.t()) #exp_product = torch.exp(dot_product) mask_positive = similarity.data >...

Before about the reshape of dimension transform issues

1

I found that you performed a dimensional transformation before the feature stretching, changing the original [batch, frames, width, high, channels] into [batch, frames, channels, width, high]. Through my study of...