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This paper presents a new 3D point cloud classification benchmark data set with over four billion manually labelled points, meant as input for data-hungry (deep) learning methods.
3d shapenets: A deep representation for volumetric shapes
Wu, Z., Song, S., Khosla, A., Yu, F., Zhang, L., Tang, X. and Xiao, J., 2015 · 1920
Earlier work this paper cites.
80 million tiny images: A large data set for nonparametric object and scene recognition
Torralba, A., Fergus, R. and Freeman, W. T., 2008 · 1970
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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Fukushima, K., 1980 · 1980
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Environment mapping and other applications of world projections
Greene, N., 1986 · 1986
Earlier work this paper cites.
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LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W. and Jackel, L. D., 1989 · 1989
Earlier work this paper cites.
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Boykov, Y., Veksler, O. and Zabih, R., 2001 · 2001
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Shotton, J., Winn, J., Rother, C. and Criminisi, A., 2006 · 2006
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Earlier work this paper cites.
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Earlier work this paper cites.
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Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K. and Fei-Fei, L., 2009 · 2009
Earlier work this paper cites.
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Munoz, D., Bagnell, J. A., Vandapel, N. and Hebert, M., 2009 · 2009
Earlier work this paper cites.
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Everingham, M., van Gool, L., Williams, C., Winn, J. and Zisserman, A., 2010 · 2010
Earlier work this paper cites.
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