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resnext101_32x4d_b32x8_imagenet.py	fix resnext resize (#222 )	2021-04-25 16:26:34 +08:00
resnext101_32x8d_b32x8_imagenet.py	fix resnext resize (#222 )	2021-04-25 16:26:34 +08:00
resnext152_32x4d_b32x8_imagenet.py	fix resnext resize (#222 )	2021-04-25 16:26:34 +08:00

README.md

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	77.90	93.66	config	model \| log
ResNeXt-32x4d-101	44.18	8.03	78.71	94.12	config	model \| log
ResNeXt-32x8d-101	88.79	16.5	79.23	94.58	config	model \| log
ResNeXt-32x4d-152	59.95	11.8	78.93	94.41	config	model \| log