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Aggregated Residual Transformations for Deep Neural Networks

Introduction

@inproceedings{xie2017aggregated,
  title={Aggregated residual transformations for deep neural networks},
  author={Xie, Saining and Girshick, Ross and Doll{\'a}r, Piotr and Tu, Zhuowen and He, Kaiming},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1492--1500},
  year={2017}
}

Results and models

ImageNet

Model Params(M) Flops(G) Top-1 (%) Top-5 (%) Config Download
ResNeXt-32x4d-50 25.03 4.27 77.92 93.74 config model | log
ResNeXt-32x4d-101 44.18 8.03 78.7 94.34 config model | log
ResNeXt-32x8d-101 88.79 16.5 79.22 94.52 config model | log
ResNeXt-32x4d-152 59.95 11.8 79.06 94.47 config model | log