2025
Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models
ICCV 2025poster
In zero-shot setting, test-time adaptation adjusts pre-trained models using unlabeled data from the test phase to enhance performance on unknown test distributions. Existing cache-enhanced TTA methods rely on a low-entropy criterion to select samples for prototype construction, assuming intra-class…