ResNeXt - Aggregated Residual Transformations for Deep Neural Networks
《Aggregated Residual Transformations for Deep Neural Networks》是Saining Xie等人於2016年公開在arXiv上： https://arxiv.org/pdf/1611.05431.pdf 創新點 1.在傳統Resnet基礎上採用group convolution，在不增加參數量的前提下，獲得更強的representation能
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相關文章
- 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. 【論文閱讀】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）
- 5. 論文閱讀：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）
- 6. 論文筆記——Aggregated Residual Transformations for Deep Neural Networks(ResNeXt)
- 7. 《ResNeXt: Aggregated Residual Transformations for Deep Neural Networks》論文筆記
- 8. 【ResNeXt】Aggregated Residual Transformations for Deep Neural Networks (2017) 全文翻譯
- 9. 《2017-Aggregated Residual Transformations for Deep Neural Networks》論文閱讀
- 10. [論文閱讀]ResNetXt|Aggregated Residual Transformations for Deep Neural Networks