#CLIP

RADC: Risk-Aware Dual Caching for Test-Time Adaptation in Vision-Language Models

RADC introduces risk-aware dual caching for vision-language model test-time adaptation, using semantic foreground prototypes and Gaussian risk admission to achieve SOTA on cross-domain and OOD benchmarks.