Vision-Language Segmentation

Vision-Language Segmentation is a research direction at the intersection of computer vision and natural language processing, aiming to achieve precise segmentation of specific areas in images by combining visual and textual information. The goal of this technology is to enhance the model's ability to understand complex scenes, enabling it to accurately identify and separate the corresponding visual objects based on natural language descriptions. The application value of Vision-Language Segmentation lies in its ability to provide more efficient and accurate technical support for intelligent image editing, content retrieval, human-computer interaction, and other scenarios.