Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition (SPP-net)
SPP-net同時解決了CNN要求輸入固定尺寸圖片的限制以及R-CNN速度的限制。 Introduction CNN要求固定尺寸圖片，一般的解決辦法都是通過crop或者warp，前者會損失圖片內容，而後者會導致圖片扭曲。那麼爲什麼CNN需要固定輸入圖片的尺寸呢？主要是因爲全連接層，全連接層上參數的數目是固定的，因此要求輸入特徵維度也是一定的，卷積過程中特徵維度是不會改變的，因此我們只能通過固定輸入
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- 2. (39)[ECCV14] SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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- 7. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》翻譯
- 8. 【SPP-net】《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》
- 9. 目標檢測--Spatial pyramid pooling in deep convolutional networks for visual recognition(PAMI, 2015)
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相關文章
- 1. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 2. (39)[ECCV14] SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 3. SPPNet(Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition)
- 4. SPPNet：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 5. [論文筆記]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 6. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition論文翻譯
- 7. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》翻譯
- 8. 【SPP-net】《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》
- 9. 目標檢測--Spatial pyramid pooling in deep convolutional networks for visual recognition(PAMI, 2015)
- 10. SPP-net(Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition)