DenseNet （二）：Overview
2020/12/28
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施工中。。。
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https://pixabay.com/zh/photos/architecture-construction-sites-3254023/
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◎ Abstract
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◎ Introduction
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本論文要解決（它之前研究）的（哪些）問題（弱點）？
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# ResNet v2。
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◎ Method
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解決方法？
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# DenseNet。
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具體細節？
http://hemingwang.blogspot.com/2021/03/densenetillustrated.html
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◎ Result
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本論文成果。
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◎ Discussion
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本論文與其他論文（成果或方法）的比較。
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成果比較。
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方法比較。
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◎ Conclusion
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◎ Future Work
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後續相關領域的研究。
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# CSPNet
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後續延伸領域的研究。
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# Tiramisu
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◎ References
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# ResNet v2。被引用 4560 次。重點從 residual block 轉移到 pure identity mapping，網路可到千層。
He, Kaiming, et al. "Identity mappings in deep residual networks." European conference on computer vision. Springer, Cham, 2016.
https://arxiv.org/pdf/1603.05027.pdf
# DenseNet。被引用 12498 次。反覆使用 conv1 也可加深網路。
Huang, Gao, et al. "Densely connected convolutional networks." Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
# CSPNet
Wang, Chien-Yao, et al. "CSPNet: A new backbone that can enhance learning capability of CNN." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops. 2020.
# Tiramisu
Jégou, Simon, et al. "The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation." Proceedings of the IEEE conference on computer vision and pattern recognition workshops. 2017.
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