【论文快读】Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
链接：https://arxiv.org/abs/1406.4729 作者：Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun 摘要： SPP可以用于: 1.大幅提高各种cnn的性能： 现有网络对输入图片的size要求一定，这种“人工设定”可能对accuracy造成影响。本文提出的SPP-net则是“input size/scale free”的，输
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- 2. [论文笔记]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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- 4. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition论文笔记
- 5. SPPNet：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 6. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》读后感
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- 8. 论文翻译与解读：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 9. 【SPP-net】《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》
- 10. 目标检测--Spatial pyramid pooling in deep convolutional networks for visual recognition(PAMI, 2015)
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相关文章
- 1. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 2. [论文笔记]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 3. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition论文翻译
- 4. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition论文笔记
- 5. SPPNet：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 6. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》读后感
- 7. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》阅读笔记
- 8. 论文翻译与解读：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 9. 【SPP-net】《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》
- 10. 目标检测--Spatial pyramid pooling in deep convolutional networks for visual recognition(PAMI, 2015)