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There is no need for you to process it by yourself. The ImageNet images have been preprocessed already to 6.1G for the Visual Domain Decathlon. You can download it directly...

We use the cosine_similarity (from sklearn.metrics.pairwise) for KNN instead of the gridsearch's own Manhattan Distance or Euclidean distance. And then use the gridsearch idea (search n in range (1,21)) and...

def cos_knn(self, k, test_data, test_target, stored_data, stored_target): cosim = cosine_similarity(test_data, stored_data) top = [(heapq.nlargest((k), range(len(i)), i.take)) for i in cosim] top = [[stored_target[j] for j in i[:k]] for i in...

Yes, it can be applied to other networks. Line 361 here is not to emphasize the version of Resnet "18". The batchnorm function is used in the BasicBlock/Bottleneck which are...

I have tried some different versions of ResNet on VD instead of PACS, and see some slight improvement with more layers of ResNet. > 在 2019年11月3日，下午5:41，keyu07 写道： > > Have...

Hi, we then checked the models on our server and updated to the remote disk. The performance is close to the reported results. We ran the models on our old...

Hi, we have provided the baseline code in the project. If you want to follow the MetaReg work, I advice you to ask for the MetaReg authors for their clear...

Sorry for the delayed notice of this message. I don't know if I understand your question in a correct way. You mean you want to compute the loss-main of all...

For the heterogeneous DG, the label space of the target domain is totally different from the source domains'. So after trained on the source domains, we freeze the feature network...