awesome-source-free-test-time-adaptation
Discover a comprehensive collection of innovative research on test-time adaptation, encompassing techniques like self-supervision and information entropy. This actively maintained repository presents methods such as pseudo labeling, class prototypes, feature alignment, and generative modeling, while addressing dynamic conditions like time-varying adaptation and image segmentation applications. Ideal for researchers and developers seeking new advancements in domain adaptation without the need for source data.
