Partial Domain Adaptation

Partial Domain Adaptation is a paradigm of transfer learning that aims to effectively transfer relevant knowledge from a large-scale source domain to a small-scale target domain to improve the performance of tasks in the target domain. This method achieves effective knowledge transfer by identifying and utilizing the shared features between the source and target domains, thereby reducing the domain discrepancy, and it holds significant application value.