Aggregated Residual Transformations for Deep Neural Networks
Introduction
[ALGORITHM]
@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 |
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