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Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction. (arXiv:2201.12170v1 [cs.CV])
Web: http://arxiv.org/abs/2201.12170
Jan. 31, 2022, 2:11 a.m. | Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
cs.LG updates on arXiv.org arxiv.org
Real-time estimation of actual object depth is a module that is essential to
performing various autonomous system tasks such as 3D reconstruction, scene
understanding and condition assessment of machinery parts. During the last
decade of machine learning, extensive deployment of deep learning methods to
computer vision tasks has yielded approaches that succeed in achieving
realistic depth synthesis out of a simple RGB modality. While most of these
models are based on paired depth data or availability of video sequences and …
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