Personalized Segmentation

Personalized Segmentation is a subtask in the field of computer vision that aims to enable models to accurately segment specific target objects in other images given one image with a reference mask. The core objective of this task is to achieve personalized and high-precision object recognition and separation, thereby playing a significant role in applications such as medical image analysis, customized advertising recommendations, and intelligent surveillance, enhancing the intelligence level of systems and user experience.