【ResNeXt】Aggregated Residual Transformations for Deep Neural Networks (2017) 全文翻译

时间 2020-12-30

标签 Deep Learning Research Deep Learning 栏目搜索引擎繁體版

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作者 Saining Xie 1 Ross Girshick 2 Piotr Dollar 2 Zhuowen Tu 1 Kaiming He 2 1 UC San Diego {s9xie,ztu}@ucsd.edu 2 Facebook AI Research {rbg,pdollar,kaiminghe}@fb.com 摘要我们提出了一个简单、高度模块化的图像分类网络体系结构。我们的网络是

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5. 论文阅读：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）
6. 论文笔记——Aggregated Residual Transformations for Deep Neural Networks(ResNeXt)
7. 《ResNeXt: Aggregated Residual Transformations for Deep Neural Networks》论文笔记
8. [Paper Reading Note]Aggregated Residual Transformations for Deep Neural Networks
9. 《2017-Aggregated Residual Transformations for Deep Neural Networks》论文阅读
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1. CNN--ResNeXt--Aggregated Residual Transformations for Deep Neural Networks
2. ResNeXt - Aggregated Residual Transformations for Deep Neural Networks
3. Aggregated Residual Transformations for Deep Neural Networks
4. 【论文阅读】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）
5. 论文阅读：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）
6. 论文笔记——Aggregated Residual Transformations for Deep Neural Networks(ResNeXt)
7. 《ResNeXt: Aggregated Residual Transformations for Deep Neural Networks》论文笔记
8. [Paper Reading Note]Aggregated Residual Transformations for Deep Neural Networks
9. 《2017-Aggregated Residual Transformations for Deep Neural Networks》论文阅读
10. [论文阅读]ResNetXt|Aggregated Residual Transformations for Deep Neural Networks

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