Hao-Min Wu

Unlocking Fine-Grained Perception in CLIP via Structurally-Aware Latent Masked Modeling

Vision-Language Models (VLMs) such as CLIP excel in global semantic alignment but often lack fine-grained perceptual capabilities. This hinders dense prediction tasks and bottlenecks the visual potential of Multimodal Large Language Models (MLLMs). Existing research has attempted to enhance CLIP's visual representation...