ResNet
https://blog.csdn.net/quincuntial/article/details/77263562
https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf
DenseNet
https://calmdownandcarryon.github.io/2017/10/06/paper-reading/cvpr_densenet/
http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Densely_Connected_Convolutional_CVPR_2017_paper.pdf
fast-RCNN
https://arxiv.org/pdf/1504.08083.pdf
https://blog.csdn.net/shenxiaolu1984/article/details/51036677
http://jacobkong.github.io/posts/1679631826/
faster-RCNN
https://arxiv.org/pdf/1506.01497.pdf
https://blog.csdn.net/shenxiaolu1984/article/details/51152614
MobileNet
https://arxiv.org/pdf/1704.04861.pdf
https://zhuanlan.zhihu.com/p/29547660
ShuffleNet
https://arxiv.org/pdf/1707.01083.pdf
https://blog.csdn.net/u011974639/article/details/79200559
http://jacobkong.github.io/posts/3802700508/
https://blog.csdn.net/qq_17448289/article/details/52871461
FPN
https://arxiv.org/pdf/1612.03144.pdf
https://blog.csdn.net/u014380165/article/details/72890275
Focal Loss for Dense Object Detection
https://arxiv.org/pdf/1708.02002.pdf
https://blog.csdn.net/mike112223/article/details/79129421
https://blog.csdn.net/u014380165/article/details/77019084