The weight of the loss function
CharlesYTJ opened this issue · 2 comments
CharlesYTJ commented
Hello, I am very enlightened after reading this paper. However, the paper mentions in the loss function section that four hyperparameters are selected in order to balance the four loss functions, and there are more details in the supplementary materials. Then can you provide supplementary materials? I would like to know if these four hyperparameters are set based on experience or for some other reason. I look forward to your answer. Thank you.
onpix commented
The loss weights are as shown in the codebase. i.e., the weights of the reconstruction loss, cosine loss, and two smoothness losses are 1.0, 0.5, 0.01, 0.01, respectively.
CharlesYTJ commented
Thank you for your answer.