Non-local Neural Networks 詳解
1. 介紹 convolution和recurrent都是對局部區域進行的操做，因此它們是典型的local operations。受計算機視覺中經典的非局部均值（non-local means）的啓發，本文提出一種non-local operations用於捕獲長距離依賴（long-range dependencies），即如何創建圖像上兩個有必定距離的像素之間的聯繫，如何創建視頻裏兩幀的聯繫，如
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相關文章
- 1. Non-local Neural Networks
- 2. CliqueNet:Convolutional Neural Networks with Alternately Updated Clique詳解
- 3. Neural Networks
- 4. Neural Networks and Deep Learning -- Class 3: Shallow neural networks
- 5. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
- 6. 18-Non-local-Neural-Networks
- 7. Improving Deep Neural Networks
- 8. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 9. 【點雲識別】Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling 論文筆記
- 10. Diffusion-Convolutional Neural Networks