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When working with three-dimensional data, choice of representation is key.
The Visualization Toolkit,
W. Schroeder, K. Martin, and B. Lorenson · 2006
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X. Glorot and Y. Bengio · 2010
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On the importance of initialization and momentum in deep learning
I. Sutskever, J. Martens, G. Dahl, and G. Hinton · 2013
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Auto-encoding variational bayes
D.P. Kingma and M. Welling · 2014
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Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
A.M. Saxe, J. L. McClelland, and S. Ganguli · 2014
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Adam: A method for stochastic optimization
D.P. Kingma and J. Ba · 2014
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3d shapenets: A deep representation for volumetric shapes
Z. Wu, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
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Multi-view convolutional neural networks for 3d shape recognition
H. Su, S. Maji, E. Kalogerakis, and E.Learned-Miller · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
D. Maturana and S. Scherer · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Procedural modeling using autoencoder networks
M. Yumer, P. Asente, R. Mech, and L. Kara · 2015
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Pairwise decomposition of image sequences for active multi-view recognition
E. Johns, S. Leutenegger, and A. J. Davison · 2016
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Fusionnet: 3d object classification using multiple data representations
V. Hegde and R. Zadeh · 2016
Theano: A python framework for fast computation of mathematical expressions
The Theano Development Team · 2016
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Fast and accurate deep network learning by exponential linear units (elus)
D-A. Clevert, T. Unterthiner, and S. Hochreiter · 2016
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A guide to convolution arithmetic for deep learning
V. Dumoulin and F. Visin · 2016
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Inception-v4, inception-resnet and the impact of residual connections on learning
C. Szegedy, S. Ioffe, and V. Vanhoucke · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Orientation-boosted voxel nets for 3d object recognition
N. Sedaghat, M. Zolfaghari, and T. Brox · 2016
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Deep networks with stochastic depth
G. Huang, Y. Sun, Z. Liu, D. Sedra, and K. Q. Weinberger · 2016
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