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This paper presents an efficient module named spatial bottleneck for accelerating the convolutional layers in deep neural networks.
Gradient-based learning applied to document recognition
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Imagenet classification with deep convolutional neural networks
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Decaf: A deep convolutional activation feature for generic visual recognition
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Rich feature hierarchies for accurate object detection and semantic segmentation
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Microsoft coco: Common objects in context
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Deeppose: Human pose estimation via deep neural networks
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Fast r-cnn
R. Girshick · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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Bilinear cnn models for fine-grained visual recognition
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Sparse convolutional neural networks
B. Liu, M. Wang, H. Foroosh, M. Tappen, and M. Pensky · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
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Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
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J. Wang, Z. Wei, T. Zhang, and W. Zeng · 2016
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Geometric neural phrase pooling: Modeling the spatial co-occurrence of neurons
L. Xie, Q. Tian, J. Flynn, J. Wang, and A. Yuille · 2016
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Deep convolutional neural networks with merge-and-run mappings
L. Zhao, J. Wang, X. Li, Z. Tu, and W. Zeng · 2016
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Dual path networks
Y. Chen, J. Li, H. Xiao, X. Jin, S. Yan, and J. Feng · 2017
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Xception: Deep learning with depthwise separable convolutions
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, et al · 2015
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Holistically-nested edge detection
S. Xie and Z. Tu · 2015
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
L. C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 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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F. Chollet · 2017
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Deep pyramidal residual networks
D. Han, J. Kim, and J. Kim · 2017
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Channel pruning for accelerating very deep neural networks
Y. He, X. Zhang, and J. Sun · 2017
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Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2017
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Densely connected convolutional networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2017
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Genetic cnn
L. Xie and A. Yuille · 2017
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollar, Z. Tu, and K. He · 2017
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Interleaved group convolutions
T. Zhang, G. J. Qi, B. Xiao, and J. Wang · 2017
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Neural architecture search with reinforcement learning
B. Zoph and Q. V. Le · 2017
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