This is an excellent work, when reading the paper and the code, we observe that the model has 4 outputs of the same shape, how to deal with these outputs respectively during training and testing? Looking forward to your reply, thank you.
During training, all outputs are used to calculate the loss function, supervising the predictor and each kernel refinement in the KSS module. Only the last output is used for evaluation when testing.
This is an excellent work, when reading the paper and the code, we observe that the model has 4 outputs of the same shape, how to deal with these outputs respectively during training and testing? Looking forward to your reply, thank you.