Dichotomous Image Segmentation

Dichotomous Image Segmentation (DIS) aims to accurately segment objects with varying structural complexities, regardless of their specific characteristics. Unlike existing category-specific image segmentation tasks, DIS does not rely on particular datasets but instead achieves finer segmentation of individual or few targets through the design of unique mechanisms. This task demonstrates significant application value in the field of computer vision, especially in obtaining rich and precise target details.