Thursday, November 14, 2019

DPN

DPN

2019/11/12

前言:

ResNet 本質上是特徵重用,DenseNet 的特性則是能提取新特徵。DPN 藉著 Higher Order RNN(HORNN) 將兩種網路拼接在一起,同時擁有兩者的特性,也達到更好的效果。

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DenseNet

// Review  DPN — Dual Path Networks (Image Classification)

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DenseNet

// Review  DPN — Dual Path Networks (Image Classification)

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ResNet (Left) DenseNet (Right)

// Review  DPN — Dual Path Networks (Image Classification)

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ResNet (Left) DenseNet (Right)

// Review  DPN — Dual Path Networks (Image Classification)

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DPN

// Review  DPN — Dual Path Networks (Image Classification)

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# DPN

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# DPN

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References

◎ 論文

# DPN
Chen, Yunpeng, et al. "Dual path networks." Advances in Neural Information Processing Systems. 2017.
https://papers.nips.cc/paper/7033-dual-path-networks.pdf 

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◎ 英文參考資料

Review  DPN — Dual Path Networks (Image Classification)
https://towardsdatascience.com/review-dpn-dual-path-networks-image-classification-d0135dce8817

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◎ 簡體中文參考資料  

解读Dual Path Networks(DPN,原创) - 知乎
https://zhuanlan.zhihu.com/p/32702293

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