Joint coarse-and-fine reasoning for deep optical flow

ICIP, Volume abs/1808.07416, 2017, Pages 2558-2562.

Cited by: 10|Bibtex|Views9|DOI:https://doi.org/10.1109/ICIP.2017.8296744
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We propose a novel representation for dense pixel-wise estimation tasks using CNNs that boosts accuracy and reduces training time, by explicitly exploiting joint coarse-and-fine reasoning. The coarse reasoning is performed over a discrete classification space to obtain a general rough solution, while the fine details of the solution are o...More

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