Web: http://arxiv.org/abs/2203.10712

Sept. 21, 2022, 1:13 a.m. | Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David Fleet, William T. Freeman

cs.CV updates on arXiv.org arxiv.org

How important are training details and datasets to recent optical flow models
like RAFT? And do they generalize? To explore these questions, rather than
develop a new model, we revisit three prominent models, PWC-Net, IRR-PWC and
RAFT, with a common set of modern training techniques and datasets, and observe
significant performance gains, demonstrating the importance and generality of
these training details. Our newly trained PWC-Net and IRR-PWC models show
surprisingly large improvements, up to 30% versus original published results on …

architecture arxiv flow training

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