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About Dice Loss
Hello, author! Thank you for contributing an influential paper to the field of res. I have a small question to ask you regarding your statement on April 13th, 2023: "Using the Dice loss instead of the cross-entropy loss can improve results. Will add code and release weights later when getting a chance." Could you please provide the calculation code for the dice loss? Thank you, good luck!
Hello! Hopefully I get time to do this soon. Thanks for your interest in the work.
Thank you for your patient answer. We are looking forward to your release of the code related to Dice loss.
Besides, I found the dimension of the network output tensor is [batch_size, 2, 480, 480], and I think the second dimension represents the classes of the pixel, 0 is background and 1 is foreground. Therefore, I want to ask you what is the meaning of 'multi-class' for multi-class Dice loss. Do you mean that "multi-class" refers to foreground and background classes?Thank you, good luck!