Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition論文翻譯
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition 空間金字塔匯聚在深度卷積網絡中進行視覺識別 深度卷積神經網絡： 1）特點： 1.需要輸入固定尺寸的圖像，降低了對任意尺寸和比例的圖像的識別精度 SPP： 1）特點： 1.能產生固定大小的表徵，與輸入尺寸無關 2.整張圖片只需要進行一次特徵圖計算
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- 5. 【論文快讀】Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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- 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. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》翻譯
- 3. [論文筆記]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 4. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition論文筆記
- 5. 【論文快讀】Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 6. 論文翻譯與解讀：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 7. SPPNet：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 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. (39)[ECCV14] SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition