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Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Örnek, Evin Pınar; Krishnan, Aravindhan K; Gayaka, Shreekant; Kuo, Cheng-Hao; Sen, Arnie; Navab, Nassir; Tombari, Federico
Titel:
SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments
Stichworte:
Image segmentation; Three-dimensional displays; Feature extraction; Object recognition; Training; Robots; Task analysis; RGB-D Perception; deep Learning for visual perception; object detection; segmentation and categorization
Zeitschriftentitel:
IEEE Robotics and Automation Letters
Jahr:
2023
Band / Volume:
8
Heft / Issue:
6
Seitenangaben Beitrag:
3709-3716
Volltext / DOI:
doi:10.1109/LRA.2023.3271527
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