A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
作者： Nikolaus Mayer , Eddy Ilg , Philip Hausser , Philipp Fischer , Daniel Cremers
关键词: Artificial intelligence 、 Pattern recognition 、 Optical flow 、 Flow estimation 、 Computer science 、 Computer vision 、 Task (computing) 、 Optical flow estimation 、 Variation (game tree) 、 Flow (mathematics) 、 Supervised learning
摘要: Recent work has shown that optical flow estimation can be formulated as a supervised learning task and can be successfully solved with convolutional networks. Training of the so-…
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arxiv-vanity.com参考文章(28)
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