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- Titel:
Object-Aware Monocular Depth Prediction With Instance Convolutions
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Simsar, Enis; Örnek, Evin Pınar; Manhardt, Fabian; Dhamo, Helisa; Navab, Nassir; Tombari, Federico
- Stichworte:
- Feature extraction; Convolutional codes; Kernel; Three-dimensional displays; Image segmentation; Robots; Deep learning; Deep learning for visual perception; RGB-D perception
- Zeitschriftentitel:
- IEEE Robotics and Automation Letters
- Jahr:
- 2022
- Band / Volume:
- 7
- Heft / Issue:
- 2
- Seitenangaben Beitrag:
- 5389-5396
- Volltext / DOI:
- doi:10.1109/LRA.2022.3155823
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