Self-Supervised Monocular Depth Estimation by Digging into Uncertainty Quantification

Yuanzhen Li; Shengjie Zheng; Zi-Xin Tan; Tuo Cao; Fei Luo; Chunxia Xiao

doi:10.1007/s11390-023-3088-y

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Self-Supervised Monocular Depth Estimation by Digging into Uncertainty Quantification

Yuanzhen Li Shengjie Zheng Zi-Xin Tan Tuo Cao Fei Luo Chunxia Xiao

Year: 2023 Journal: Journal of Computer Science and Technology Vol: 38 (3)Pages: 510-525 Publisher: Springer Science+Business Media

DOI: 10.1007/s11390-023-3088-y

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Keywords:

Computer science Snapshot (computer storage) Robustness (evolution) Machine learning Artificial intelligence Measurement uncertainty Uncertainty analysis Uncertainty reduction theory Monocular Estimation Variance (accounting) Data mining Uncertainty quantification Statistics Simulation Mathematics

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Self-Supervised Monocular Depth Estimation by Digging into Uncertainty Quantification

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