Robust Double-Encoder Network for RGB-D Panoptic Segmentation
Matteo Sodano,Federico Magistri,Tiziano Guadagnino,Jens Behley,Cyrill Stachniss,Matteo Sodano,Federico Magistri,Tiziano Guadagnino,Jens Behley,Cyrill Stachniss
Perception is crucial for robots that act in real-world environments, as autonomous systems need to see and understand the world around them to act properly. Panoptic segmentation provides an interpretation of the scene by computing a pixelwise semantic label together with instance IDs. In this paper, we address panoptic segmentation using RGB-D data of indoor scenes. We propose a novel encoder-de...
