Distilling Image Prototypes for Guided Test-Time Adaptation
A novel framework, Distilling Image Prototype for Guided Test-Time Adaptation (DIPTTA), a compact set of synthetic images that serves as a dynamic and regenerative anchor of source knowledge that anchors a source-calibrated uncertainty estimation method.