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pytorch implementation for Contrastive Adaptation Network

Results 16 Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation issues
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When I use the test method and encounter this problem, I would like to ask you how to solve it,The corresponding weight folder does not correspond after training FileMotFoundError: No...

Hi, I just tested your code on Office-Home and ImageCLEF-DA. The performance is not good. Any suggestions on how to solve this? Perhaps your proposed method is overfitting on VisDA...

the original paper's result is 87.2, but my average result (the best value of 10 experiment results) is 86.6.

The original paper only reports resnet-101 result for Vis-DA dataset. Could you please add an extra result of resnet-50 for Vis-DA dataset? Because really lots of papers are doing RseNet-50...

Hi! I'm trying to reproduce results on Office-31. I've trained each experiment 10 times. I've selected the best results in each train(not the last one). I've calculated average of 10...

Hello, could you share the information about the general running time of each experiment in the paper? Thanks.

Hi, Do you know what is the effect of domain specific batch norm on the final accuracy? What would be the drop without it?

Dear Author, I appreciate your contribution on the paper CAN(Contrastive Adaptation for UDA). please, i'm trying to run your github code,but no 'category.txt) for both datasets. Cloud you suggest me,please.

Dear Author, I appreciate your contribution on the paper CAN(Contrastive Adaptation for UDA). please, i'm trying to run your github code,but no 'category.txt) for both datasets. Cloud you suggest me,please.