A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
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Cites background or methods from "A Large Dataset to Train Convolutio..."
...Because noise tends to be a problem with small displacements, we add convolutions between the upconvolutions to obtain smoother estimates like in [18]....
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...[18] leads to inferior results if used in isolation....
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...[18] can be seen as a three-dimensional version of Chairs: 22k renderings of random scenes show 3D models from the ShapeNet dataset [23] moving in front of static 3D backgrounds....
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2,239 citations
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References
111,197 citations
"A Large Dataset to Train Convolutio..." refers methods in this paper
...We employ a custom version of Caffe [12] and make use of the Adam optimizer [13]....
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73,978 citations
10,161 citations
"A Large Dataset to Train Convolutio..." refers methods in this paper
...We employ a custom version of Caffe [13] and make use of the Adam optimizer [14]....
[...]
...We employ a custom version of Caffe [12] and make use of the Adam optimizer [13]....
[...]
9,775 citations
"A Large Dataset to Train Convolutio..." refers background in this paper
...Convolutional networks [15] have proven very successful for a variety of recognition...
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7,458 citations