Computing the Stereo Matching Cost with a Convolutional Neural Network

Gradient-based learning applied to document recognition

LeCun, Y., Bottou, L., Bengio, Y., and Haffner, P. (1998) · 1998

Earlier work this paper cites.

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Scharstein, D. and Szeliski, R. (2002) · 2002

Earlier work this paper cites.

A method for learning matching errors for stereo computation

Kong, D. and Tao, H. (2004) · 2004

Earlier work this paper cites.

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Kong, D. and Tao, H. (2006) · 2006

Earlier work this paper cites.

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Scharstein, D. and Pal, C. (2007) · 2007

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Zhang, L. and Seitz, S. M. (2007) · 2007

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Hirschmuller, H. (2008) · 2008

Earlier work this paper cites.

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Li, Y. and Huttenlocher, D. P. (2008) · 2008

Earlier work this paper cites.

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