ResNeXt - Aggregated Residual Transformations for Deep Neural Networks
《Aggregated Residual Transformations for Deep Neural Networks》是Saining Xie等人于2016年公开在arXiv上： https://arxiv.org/pdf/1611.05431.pdf 创新点 1.在传统Resnet基础上采用group convolution，在不增加参数量的前提下，获得更强的representation能
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相关文章
- 1. Aggregated Residual Transformations for Deep Neural Networks
- 2. CNN--ResNeXt--Aggregated Residual Transformations for Deep Neural Networks
- 3. [Paper Reading Note]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. 【ResNeXt】Aggregated Residual Transformations for Deep Neural Networks (2017) 全文翻译
- 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