Housheng Su

Enhancing Multimodal Compositional Understanding of Vision-Language Models With Semantic Decoupling and Feature Coupling

Vision-Language Models (VLMs) have achieved remarkable success across various downstream tasks. However, their compositional understanding of complex attributes and relations remains a significant challenge. While existing methods leverage compositional datasets and contrastive learning, they are often compromised by v...