SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments

1 code implementation • 22 Dec 2022 • Evin Pınar Örnek, Aravindhan K Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari

We introduce a zero-shot split for Tabletop Objects Dataset (TOD-Z) to enable this study and present a method that uses annotated objects to learn the ``objectness'' of pixels and generalize to unseen object categories in cluttered indoor environments.

Instance Segmentation Object +2