AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain
Adaptation for Medical Image Segmentation
AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain
Adaptation for Medical Image Segmentation
Decoupling domain-variant information (DVI) from domain-invariant information (DII) serves as a prominent strategy for mitigating domain shifts in the practical implementation of deep learning algorithms. However, in medical settings, concerns surrounding data collection and privacy often restrict access to both training and test data, hindering the empirical decoupling of information …