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Aggregated Residual Transformations for Deep Neural Networks.

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(2017)

Cited 14738|Views1128
Key words
classification accuracy,ILSVRC 2016 classification task,COCO detection set,aggregated residual transformations,deep neural networks,simple network architecture,highly modularized network architecture,image classification,building block,multibranch architecture,hyper-parameters,ImageNet-1K dataset,cardinality
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