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In Table 1, the batch size is 4, 2, 1. The results I ran are completely different from yours. Could you give the forward_and_adapt function you have here. I directly used the code given by Online Test-time Adaptation. I also modified self.norm = nn.BatchNorm2d(self.layer.num_features, affine=False, momentum=cfg.TEST.MOMENTUM, track_running_stats=True) in AlphaBatchNorm.
The text was updated successfully, but these errors were encountered:
If you would like to reproduce the Alpha_BN results, you can directly follow the original code of Online Test-time Adaptationhttps://github.com/mariodoebler/test-time-adaptation/tree/main. Just modify the batchsize parameter in norm_alpha.yaml and run. You don't need to modify any other functions.
If you would like to reproduce the Alpha_BN results, you can directly follow the original code of Online Test-time Adaptationhttps://github.com/mariodoebler/test-time-adaptation/tree/main. Just modify the batchsize parameter in norm_alpha.yaml and run. You don't need to modify any other functions.
Thank you for your reply and your paper. Could you please provide me with the AdaptBN code?
In Table 1, the batch size is 4, 2, 1. The results I ran are completely different from yours. Could you give the forward_and_adapt function you have here. I directly used the code given by Online Test-time Adaptation. I also modified self.norm = nn.BatchNorm2d(self.layer.num_features, affine=False, momentum=cfg.TEST.MOMENTUM, track_running_stats=True) in AlphaBatchNorm.
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The text was updated successfully, but these errors were encountered: