pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation

Researchers developed pMoE, a novel parameter-efficient fine-tuning method that combines multiple expert domains through specialized prompt tokens and dynamic dispatching. Testing across 47 visual adaptation tasks in classification and segmentation shows superior performance with improved computational efficiency compared to existing methods.