نسخة أولية وصول مفتوح
RADC: Risk-Aware Dual Caching for Vision-Language Test-Time Adaptation
Cache-based test-time adaptation (TTA) for vision-language models is often hindered by background bias in global representations and unreliable entropy-based cache admission under representation variations. To address these limitations, we propose RADC, which enhances prototype learning through reliable dual caching. R …