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We propose a novel architecture for object classification, called Self-Attention Capsule Networks (SACN).
A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
B. A. Olshausen, C. H. Anderson, and D. C. V. Essen · 1993
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Learning to combine foveal glimpses with a third-order boltzmann machine
H. Larochelle and G. E. Hinton · 2010
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A hierarchical generative model of recurrent object-based attention in the visual cortex
D. P. Reichert, P. Seriès, and A. J. Storkey · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Learning generative models with visual attention
Y. Tang, N. Srivastava, and R. Salakhutdinov · 2013
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Recurrent models of visual attention
V. Mnih, N. Heess, A. Graves, and K. Kavukcuoglu · 2014
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Attentional neural network: Feature selection using cognitive feedback
W. Qian, Z. Jiaxing, S. Sen, and Z. Zheng · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Densely connected convolutional networks
G. Huang, Z. Liu, and K. Q. Weinberger · 2016
Cited alongside, same era.
Dynamic routing between capsules
S. Sabour, N. Frosst, and G. E. Hinton · 2017
Cited alongside, same era.
Brain tumor type classification via capsule networks
P. Afshar, A. Mohammadi, and K. N. Plataniotis · 2018
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A. Deliège, A. Cioppa, and M. V. Droogenbroeck · 2018
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Attention u-net: Learning where to look for the pancreas
O. Oktay, J. Schlemper, L. L. Folgoc, M. Lee, M. Heinrich, K. Misawa, K. Mori, S. McDonagh, N. Y. Hammerla, B. Kainz, B. Glocker, and D. Rueckert · 2018
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Dense and diverse capsule networks: Making the capsules learn better, 2018
S. S. R. Phaye, A. Sikka, A. Dhall, and D. Bathula · 2018
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Self-attention generative adversarial networks
H. Zhang, I. Goodfellow, D. Metaxas, and A. Odena · 2018
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X. Wang, R. Girshick, A. Gupta, and K. He · 2017
Cited alongside, same era.
Capsule network performance on complex data
E. Xi, S. Bing, and Y. Jin · 2017
Cited alongside, same era.
Image segmentation and classification for sickle cell disease using deformable u-net
M. Zhang, X. Li, M. Xu, and Q. Li · 2017
Cited alongside, same era.
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Quantitative phase imaging and artificial intelligence: A review
Y. Jo, H. Cho, S. Y. Lee, G. Choi, G. D. Kim, H. L. Min, and Y. Park · 2019
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Image colorization by capsule networks, 2019
G. Özbulak · 2019
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