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Depthwise separable convolution has shown great efficiency in network design, but requires time-consuming training procedure with full training-set available.
The ubiquitous kronecker product
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ImageNet: A Large-Scale Hierarchical Image Database
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The pascal visual object classes (voc) challenge
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky and G. Hinton · 2012
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Exploiting linear structure within convolutional networks for efficient evaluation
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Rich feature hierarchies for accurate object detection and semantic segmentation
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Caffe: Convolutional architecture for fast feature embedding
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Compressing neural networks with the hashing trick
Wenlin Chen, James Wilson, et al · 2015
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Learning both weights and connections for efficient neural network
Song Han, Jeff Pool, et al · 2015
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Distilling the knowledge in a neural network
G. Hinton, O. Vinyals, et al · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, et al · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Xception: Deep learning with depthwise separable convolutions
François Chollet · 2016
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Binarynet: Training deep neural networks with weights and activations constrained to +1 or -1
M. Courbariaux and Y. Bengio · 2016
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Learning structured sparsity in deep neural networks
W. Wen, C. Wu, et al · 2016
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Accelerating very deep convolutional networks for classification and detection
X. Zhang, J. Zou, et al · 2016
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Neural architecture search with reinforcement learning
B. Zoph and Quoc V Le · 2016
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Channel pruning for accelerating very deep neural networks
Y. He, X. Zhang, and Others · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, et al · 2017
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Song Han, Huizi Mao, and Bill Dally · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, et al · 2016
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Compression of deep convolutional neural networks for fast and low power mobile applications
Y. Kim, E. Park, et al · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, et al · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks
M. Rastegari, V. Ordonez, et al · 2016
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Progressive neural architecture search
C. Liu, B. Zoph, et al
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Learning efficient convolutional networks through network slimming
Zhuang Liu, Jianguo Li, et al
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B. Kim and N. Wong · 2017
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Pruning filters for efficient convnets
Hao Li, Asim Kadav, et al · 2017
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Thinet: A filter level pruning method for deep neural network compression
J. Luo, J. Wu, et al · 2017
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, et al · 2017
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