BEE-Net: Bridging Semantic and Instance with Gated Encoding and Edge Constraint for Efficient Panoptic Segmentation
Xinyang Huang,Guanghui Zhang,Dongchen Zhu,Yunpeng Sun,Wenjun Shi,Gang Ye,Yang Xiao,Lei Wang,Xiaolin Zhang,Bo Li,Jiamao Li,Xinyang Huang,Guanghui Zhang,Dongchen Zhu,Yunpeng Sun,Wenjun Shi,Gang Ye,Yang Xiao,Lei Wang,Xiaolin Zhang,Bo Li,Jiamao Li
Panoptic segmentation is a challenging perception task, which can help robots to comprehensively perceive the surrounding environment. In the task, we notice that semantic, instance, and panoptic have rich relations, however, which are rarely explored. In this work, we propose a novel panoptic, instance, and semantic bridged network to delve into the reciprocal relation. To make semantic and insta...
