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[MICCAI 2021] BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

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Below Replace with the IAA augmented method transform = torchvision.transforms.Compose([ transforms.Resize((224, 224)), transforms.ColorJitter(hue=.05, saturation=.05), transforms.RandomHorizontalFlip(), transforms.RandomRotation(20, resample=PIL.Image.BILINEAR), transforms.ToTensor() ]) x, y = self.transforms(images=self.x[None, index], segmentation_maps=self.y[None, index]) TypeError: __call__() got an...

Thanks for your extraordinary work ! At Phase2, it goes well when 15 subnetworks are sampled at iteration 5. But when it goes to interation 4, the subnetworks tripled as...