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What Matters in Unsupervised Optical Flow

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Jon Barron: We tried everything under the sun and identified a simple model for learning *unsupervised* optical flow: you give it videos and it learns to produce flow, no labels needed. Results are on par with supervised techniques! https://arxiv.org/abs/2006.04902 https://youtu.be/1VFBMPAHH7U @rico_jski https://t.co/JpnoRpHcOa

7 replies, 635 likes


Kosta Derpanis: Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova, What Matters in Unsupervised Optical Flow, #ECCV2020 http://arxiv.org/abs/2006.04902 https://t.co/yH9T9mEaMX

0 replies, 40 likes


roadrunner01: What Matters in Unsupervised Optical Flow pdf: https://arxiv.org/pdf/2006.04902.pdf abs: https://arxiv.org/abs/2006.04902 github: https://github.com/google-research/google-research/tree/master/uflow https://t.co/nHh00CJN7j

0 replies, 32 likes


Daisuke Okanohara: They identified important components for unsupervised optical flow; cost volume normalization, smoothness at flow resolution, range map-based occlusion estimation, self-supervision, rectangular resizing, census loss, level dropout. UFlow achieves new SOTA. https://arxiv.org/abs/2006.04902

0 replies, 6 likes


Jia-Bin Huang: Great insight from careful ablation study! It is, however, increasingly difficult to carry out such works in the universities (eg getting one row of results may take up to one week).

1 replies, 4 likes


HotComputerScience: Most popular computer science paper of the day: "What Matters in Unsupervised Optical Flow" https://hotcomputerscience.com/paper/what-matters-in-unsupervised-optical-flow https://twitter.com/jon_barron/status/1295785587127930880

0 replies, 3 likes


arXiv CS-CV: What Matters in Unsupervised Optical Flow http://arxiv.org/abs/2006.04902

0 replies, 1 likes


Brundage Bot: What Matters in Unsupervised Optical Flow. Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, and Anelia Angelova http://arxiv.org/abs/2006.04902

1 replies, 0 likes


Content

Found on Aug 18 2020 at https://arxiv.org/pdf/2006.04902.pdf

PDF content of a computer science paper: What Matters in Unsupervised Optical Flow