2019/11/21
前言:
Light-weight RefineNet 藉由三個改進讓 RefineNet 適合在行動裝置上運作。首先是將 Conv3 改成 Conv1,其次是去除殘差卷積單元,最後則是將網路骨幹改成行動裝置的卷積網路如 MobileNet 等。
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# RefineNet-LW
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# RefineNet-LW
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# RefineNet-LW
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# RefineNet-LW
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# RefineNet-LW
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# RefineNet-LW
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# RefineNet-LW
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# RefineNet-LW
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References
# RefineNet-LW
Nekrasov, Vladimir, Chunhua Shen, and Ian Reid. "Light-weight refinenet for real-time semantic segmentation." arXiv preprint arXiv:1810.03272 (2018).
https://arxiv.org/pdf/1810.03272.pdf 图像分割之Light-Weight RefineNet - 年轻即出发, - CSDN博客
https://blog.csdn.net/qq_14845119/article/details/84776977
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