An improved deep network-based RGB-D semantic segmentation method for indoor scenes

Jianjun Ni; Ziru Zhang; Kang Shen; Guangyi Tang; Simon X. Yang

doi:10.1007/s13042-023-01927-1

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An improved deep network-based RGB-D semantic segmentation method for indoor scenes

Jianjun Ni Ziru Zhang Kang Shen Guangyi Tang Simon X. Yang

Year: 2023 Journal: International Journal of Machine Learning and Cybernetics Vol: 15 (2)Pages: 589-604 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-023-01927-1

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Keywords:

Computer science Artificial intelligence RGB color model Segmentation Feature (linguistics) Computer vision Pattern recognition (psychology) Feature extraction Convolutional neural network Image segmentation Semantics (computer science)

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

An improved deep network-based RGB-D semantic segmentation method for indoor scenes

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