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Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022

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Thank you very much for sharing the codes. Could you please share the code for training the 3D models by applying DIRA to TransVW? If already available, could you please...

hi, thansk for open-source. can you share the pre-trained weights? such as resnet50 backbone and others. thanks.

This is a great job, which unifies contrastive and generative method. And writting is also good. But my intuition tells me that this method seems sensitive to hyperparameters.

I think it is a great job for medical image analysis! However, I have some questions about the details of training 2D images. ①You did a warming up and then...

I wonder what is the purpose or function of the class 'Custom_Distoration' in the transformation.py file?