論文筆記——Aggregated Residual Transformations for Deep Neural Networks(ResNeXt)
論文下載： https://arxiv.org/pdf/1611.05431.pdf 論文代碼： https://github.com/miraclewkf/ResNeXt-PyTorch 論文摘要： 該論文提出了一個簡單、高度模塊化的圖像分類網絡結構。該網絡結構是通過重複一個構建塊(buildng block)搭建的，這個構建塊聚合了一組具有相同拓撲結構(same topology)的轉換。這種
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相關文章
- 1. Aggregated Residual Transformations for Deep Neural Networks
- 2. 《ResNeXt: Aggregated Residual Transformations for Deep Neural Networks》論文筆記
- 3. ResNeXt - Aggregated Residual Transformations for Deep Neural Networks
- 4. CNN--ResNeXt--Aggregated Residual Transformations for Deep Neural Networks
- 5. [Paper Reading Note]Aggregated Residual Transformations for Deep Neural Networks
- 6. 【論文閱讀】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）
- 7. 論文閱讀：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）
- 8. 《2017-Aggregated Residual Transformations for Deep Neural Networks》論文閱讀
- 9. [論文閱讀]ResNetXt|Aggregated Residual Transformations for Deep Neural Networks
- 10. 【ResNeXt】Aggregated Residual Transformations for Deep Neural Networks (2017) 全文翻譯