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"What Makes Good Synthetic Training Data for Learning Disparity and Optical ..."

Nikolaus Mayer et al. (2018)

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DOI: 10.1007/S11263-018-1082-6

access: closed

type: Journal Article

metadata version: 2023-09-30

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  - journals/ijcv/MayerIFHCDB18
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  - https://dblp.org/rec/journals/ijcv/MayerIFHCDB18
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. 126(9): 942-960 (2018)

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