2026
SOTA: Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation Models
CVPR 2026
Foundation models have attracted widespread attention across domains due to their powerful zero-shot classification capabilities. This work is motivated by two key observations: (1) Vision-Language Models (VLMs), such as CLIP, often over-rely on class-level textual priors and struggle to capture fin