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(39)[ECCV14] SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
時間 2020-12-30
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計劃完成深度學習入門的126篇論文第三十九篇,Kaiming he以及孫劍等完成的對VIsual Recognition中Spatial Pyramid Pooling的研究。[github] Abstract 現有的深度卷積神經網絡(CNNs)需要一個固定大小的輸入圖像(例如,224 x 224)。這種要求是人爲的,可能會降低對任意大小/尺度的圖像或子圖像的識別精度。在這項工作中,我們爲網絡配備
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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)
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