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Deep convolutional neural networks (CNNs) are often of sophisticated design with numerous learnable parameters for the accuracy reason.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Simple line drawings suffice for functional mri decoding of natural scene categories
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Microsoft coco: Common objects in context
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A* sampling
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Sergey Ioffe and Christian Szegedy · 2015
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Aggregated residual transformations for deep neural networks
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Convolutional networks with adaptive inference graphs
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Accelerate cnns from three dimensions: A comprehensive pruning framework
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Pytorch: An imperative style, high-performance deep learning library
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Distilling knowledge from graph convolutional networks
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