Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity

Valery Anisimovskiy; Andrey Shcherbinin; Sergey Turko; Ilya V. Kurilin

doi:10.1007/978-3-030-47358-7_4

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Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity

Valery Anisimovskiy Andrey Shcherbinin Sergey Turko Ilya V. Kurilin

Year: 2020 Lecture notes in computer science Pages: 36-48 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-47358-7_4

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Keywords:

Computer science Artificial intelligence Convolutional neural network Monocular Leverage (statistics) Ambiguity Computer vision Depth map Unsupervised learning Pattern recognition (psychology) Image (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

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity

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