Unseen Object Instance Segmentation

Unseen Object Instance Segmentation is a subtask in computer vision aimed at detecting and segmenting specific instances of objects that have not been seen before in images. This task enhances the system's adaptability and generalization performance in new scenarios by enabling the model to accurately identify and delineate boundaries of unknown objects, which holds significant application value in fields such as autonomous driving, robot navigation, and medical image analysis.