[论文阅读]ResNetXt|Aggregated Residual Transformations for Deep Neural Networks

时间 2020-12-30

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题目： Aggregated Residual Transformations for Deep Neural Networks 作者： Saining Xie； Ross Girshick ； Piotr Doll´ar；Zhuowen Tu； Kaiming He 看到Kaiming He就不陌生了吧 Motivation: 作者还是为了找到一种更优的方法或者卷积方式来做目标分类。于是乎提出R

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

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