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- Titel:
SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Örnek, Evin Pınar; Krishnan, Aravindhan K; Gayaka, Shreekant; Kuo, Cheng-Hao; Sen, Arnie; Navab, Nassir; Tombari, Federico
- 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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