SPP-net(Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition)
Abstract SPP-net提出了空間金字塔池化層來解決CNN只是輸入固定尺寸的問題，因爲單固定尺寸的輸入會影響識別效果，並且對於多尺度圖像的情況下魯棒性不好。SPP-net很好的解決了以上問題，對於任意尺度圖像都可以提取出固定維度的特徵，實驗證明SPP-net對分類任務(不同網絡結構)和目標探測任務都有積極的作用。RCNN則是將候選區送入模型，這樣會非常耗時，而且SPP-net網絡以整張圖
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- 5. 目標檢測--Spatial pyramid pooling in deep convolutional networks for visual recognition(PAMI, 2015)
- 6. [論文筆記]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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- 8. (39)[ECCV14] SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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相關文章
- 1. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 2. SPPNet：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 3. 【SPP-net】《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》
- 4. SPP-net：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 5. 目標檢測--Spatial pyramid pooling in deep convolutional networks for visual recognition(PAMI, 2015)
- 6. [論文筆記]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 7. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition論文翻譯
- 8. (39)[ECCV14] SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 9. SPP(Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition)
- 10. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》翻譯