Darknet，一个纯C语言实现的深度学习框架，源自 https://github.com/pjreddie/darknet
Redmon等人在此框架下实现了目前最高水平的目标检测模型(Yolo V3)
本项目主要工作,在Darknet下实现:
MobileNet(已完成)
MobileNet V2(Debuging)
ShuffleNet(阅读文献中)
ShuffleNet V2(阅读文献中)
Deep Compression(暂定)

参考文献:
[1] Redmon J , Divvala S , Girshick R , et al. You Only Look Once: Unified, Real-Time Object Detection[J]. 2015.
[2] Redmon J, Farhadi A. YOLO9000: Better, Faster, Stronger[C]// IEEE Conference on Computer Vision & Pattern Recognition. 2017.
[3] Redmon J , Farhadi A . YOLOv3: An Incremental Improvement[J]. 2018.
[4] Howard A G , Zhu M , Chen B , et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications[J]. 2017.
[5] Sandler M , Howard A , Zhu M , et al. Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation[J]. 2018.
[6] Zhang X , Zhou X , Lin M , et al. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices[J]. 2017.
[7] Ma N, Zhang X, Zheng H T, et al. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design[J]. 2018.