ANN:Asymmetric Non-local Neural Networks for Semantic Segmentation
code pytorch 原始的Non-local Block 結構圖 1.Abstract 標準non-local存在的問題： 計算量過大 GPU內存佔用過高 作者提出了用於語義分割的非對稱非局部神經網絡，它具有兩個突出的組成部分：非對稱金字塔非局部塊（APNB：大大減少了計算量和內存消耗）和非對稱融合非局部塊（AFNB）。 2.Introduction 之前的研究表明： 如果充分利用遠程依賴關
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相關文章
- 1. ICCV2019-Asymmetric Non-local Neural Networks for Semantic Segmentation
- 2. Fully Convolutional Adaptation Networks for Semantic Segmentation
- 3. Fully Convolutional Networks for Semantic Segmentation
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- 5. FCN：Fully convolutional networks for semantic segmentation
- 6. FCN—— Fully Convolutional Networks for Semantic Segmentation
- 7. FCN-Fully Convolutional Networks for Semantic Segmentation
- 8. 【文獻閱讀】Asymmetric Non-local Neural Networks for Semantic Segmentation
- 9. 【Semantic segmentation】Fully Convolutional Networks for Semantic Segmentation 論文解析
- 10. 論文《Fully Convolutional Networks for Semantic Segmentation》