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ResNet

Documentation Statusstandard-readme compliantConventional CommitsCommitizen friendly

ResNet算法实现

实现ResNet及后续版本,同时实现了相关模型:

  • ResNet v1/v2
  • DenseNet
CNN ArchitectureData Type (bit)Model Size (MB)GFlops (1080Ti)Top-1 Acc(VOC 07+12)Top-5 Acc(VOC 07+12)
ResNet-183244.6073.64189.98%99.29%
ResNet-343283.1807.34890.01%99.29%
ResNet-34_v23283.1777.34990.50%99.29%
ResNet-503297.4928.22389.37%99.39%
ResNet-10132169.94215.66890.66%99.35%
ResNet-101_v232169.92615.66890.85%99.48%
DenseNet-1213230.4375.73189.86%99.20%

内容列表

背景

安装

文档工具依赖

# 文档工具依赖
$ pip install -r requirements.txt

python库依赖

$ cd py
$ pip install -r requirements.txt

用法

文档浏览

有两种使用方式

  1. 在线浏览文档:ResNet

  2. 本地浏览文档,实现如下:

    $ git clone https://github.com/zjZSTU/ResNet.git
    $ cd ResNet
    $ mkdocs serve
    

    启动本地服务器后即可登录浏览器localhost:8000

主要维护人员

  • zhujian - Initial work - zjZSTU

致谢

引用

@misc{he2015deep,
title={Deep Residual Learning for Image Recognition},
author={Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
year={2015},
eprint={1512.03385},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{he2016identity,
title={Identity Mappings in Deep Residual Networks},
author={Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
year={2016},
eprint={1603.05027},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{huang2016densely,
title={Densely Connected Convolutional Networks},
author={Gao Huang and Zhuang Liu and Laurens van der Maaten and Kilian Q. Weinberger},
year={2016},
eprint={1608.06993},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{pascal-voc-2007,
author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2007 {(VOC2007)} {R}esults",
howpublished = "http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html"}
@misc{pascal-voc-2012,
author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2012 {(VOC2012)} {R}esults",
howpublished = "http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html"}

参与贡献方式

欢迎任何人的参与!打开issue或提交合并请求。

注意:

许可证

Apache License 2.0 © 2020 zjZSTU