DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
https://bitbucket.org/aquariusjay/deeplab-public-ver2/overview

Fully Convolutional Instance-aware Semantic Segmentation CVPR2017
https://github.com/msracver/FCIS

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks
for Real-Time Object Detection for Autonomous Driving

Network Dissection:
Quantifying Interpretability of Deep Visual Representations
CVPR2017
https://github.com/CSAILVision/NetDissect

A Discriminative Feature Learning Approach for Deep Face Recognition
code: https://github.com/ydwen/caffe-face

目標檢測：
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection

R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/daijifeng001/r-fcn

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection CVPR 2017
Caffe code : https://github.com/xiaolonw/adversarial-frcnn

行人檢測：

深度去噪
Learning Deep CNN Denoiser Prior for Image Restoration