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View Code? Open in Web Editor NEWStyle Normalization and Restitution for Domain Generalization and Adaptation
License: MIT License
Style Normalization and Restitution for Domain Generalization and Adaptation
License: MIT License
Do you have a plan to open person re-id task?
Some files are missing:
maskrcnn_benchmark.modeling.roi_heads.mask_head
maskrcnn_benchmark.modeling.rpn
Did I miss any installation step
hello, thank you so much for your sharing. But I'm not sure if the dual causality loss is used in detection, if not, why the dual causality loss is not used?
Thank you for your wonderful work. I noticed that you used entropy to distinguish task-relevant and task-irrelevant features, but entropy is usually not used in regression tasks. I wonder if SNR is applicable to regression tasks? Do you have any good suggestions for modifying it?
There seems to be dimension mismatch in the model.
Steps to produce:
model = resnet18_snr()
model(torch.randn(2, 3, 256, 128))
Error log:
~/Documents/Codes/re_id/deep-person-reid/torchreid/models/resnet_SNR.py in forward(self, x)
276
277
--> 278 x_4 = self.avgpool(x_4)
279 x_4 = x_4.view(x_4.size(0), -1)
280
~/Documents/Codes/re_id/test/lib/python3.8/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
1049 if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
1050 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1051 return forward_call(*input, **kwargs)
1052 # Do not call functions when jit is used
1053 full_backward_hooks, non_full_backward_hooks = [], []
~/Documents/Codes/re_id/test/lib/python3.8/site-packages/torch/nn/modules/pooling.py in forward(self, input)
613
614 def forward(self, input: Tensor) -> Tensor:
--> 615 return F.avg_pool2d(input, self.kernel_size, self.stride,
616 self.padding, self.ceil_mode, self.count_include_pad, self.divisor_override)
617
RuntimeError: Given input size: (512x8x4). Calculated output size: (512x2x-2). Output size is too small
hi, thanks for your sharing. For the segmentation, why the dual causality loss is not used?
Thank you for sharing your code.
I want to execute your code but it needs the authority for accessing classification dataset in google drive.
How can i get the authority to the dataset?
Thank you.
There are open compliance tasks that need to be reviewed for your SNR repo.
To bring this repository to the standard required for 2021, we require administrators of this and all Microsoft GitHub repositories to complete a small set of tasks within the next 60 days. This is critical work to ensure the compliance and security of your microsoft GitHub organization.
Please take a few minutes to complete the tasks at: https://repos.opensource.microsoft.com/orgs/microsoft/repos/SNR/compliance
You can close this work item once you have completed the compliance tasks, or it will automatically close within a day of taking action.
If you no longer need this repository, it might be quickest to delete the repo, too.
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