On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios
Biqi Yang,Xiaojie Gao,Xianzhi Li,Yun-Hui Liu,Chi-Wing Fu,Pheng-Ann Heng,Biqi Yang,Xiaojie Gao,Xianzhi Li,Yun-Hui Liu,Chi-Wing Fu,Pheng-Ann Heng
Instance segmentation is a long-standing task for supporting robotic bin picking. However, objects of diverse classes can be closely packed with occlusions in cluttered and chaotic scenes, hence, even recent methods could have difficulty in locating clear and precise boundaries to distinguish nearby objects. In this work, we aim to improve the boundary quality of the instance masks for robust and ...
