Domain generalization addresses the challenge that arises when a model trained on one or more source domains must perform reliably on unseen target domains with different data distributions. Central ...
(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...