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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? (bibtex)
by N Mayer, E Ilg, P Fischer, C Hazirbas, D Cremers, A Dosovitskiy and T Brox
Reference:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? (N Mayer, E Ilg, P Fischer, C Hazirbas, D Cremers, A Dosovitskiy and T Brox), In , volume 41, 2018. (arxiv)
Bibtex Entry:
@string{ijcv="International Journal of Computer Vision"}
@article{mayer18synthetic,
author = {N Mayer and E Ilg and P Fischer and C Hazirbas and D Cremers and A Dosovitskiy and T Brox},
title = {What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?},
booktitle = {International Journal of Computer Vision},
volume = {41},
number = {8},
pages = {1797--1812},
year = {2018},
month = {September},
eprint = {arXiv:1801.06397},
keywords = {deep learning, optical-flow},
}
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