no code implementations • 25 Jul 2023 • Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng
Our method includes two paths: the main path and the auxiliary (augmented) path.
no code implementations • 11 Aug 2022 • Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng
To address the task, we first analyze the theory of the multi-domain learning, which highlights that 1) mitigating the impact of domain gap and 2) exploiting all samples to train the model can effectively reduce the generalization error in each source domain so as to improve the quality of pseudo-labels.