Haoyan Wu

Dynamic Logits Adjustment and Exploration for Test-Time Adaptation in Vision Language Models

Existing Test-Time Adaptation (TTA) methods for Vision-Language Models (VLMs), focusing on designing efficient adaptation parameters (eg. prompts or residual prototypes), predominantly rely on high-confidence samples obtained via entropy-based filtering. However, this prevailing paradigm implicitly