DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow
Paper: https://arxiv.org/pdf/1607.04381v1.pdf
Model Zoo: https://songhan.github.io/DSD/

(NIPS 2015) Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Paper: http://arxiv.org/abs/1506.05751
Code: https://github.com/facebook/eyescream

(NIPS 2014) Generative Adversarial Nets
Paper: https://papers.nips.cc/paper/5423-generative-adversarial-nets
Code: http://www.github.com/goodfeli/adversarial

Conditional Generative Adversarial Nets
Paper: https://arxiv.org/abs/1411.1784

(CVPR 2017) Fully Convolutional Instance-aware Semantic Segmentation
Paper: https://arxiv.org/abs/1611.07709
Code: https://github.com/daijifeng001/TA-FCN

(ECCV 2016) Instance-sensitive Fully Convolutional Networks
Paper: https://arxiv.org/abs/1603.08678

(CVPR 2016) Instance-aware Semantic Segmentation via Multi-task Network Cascades
Paper: https://arxiv.org/abs/1512.04412
Code: https://github.com/daijifeng001/MNC

(CVPR 2016) Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
Paper: http://www.cse.cuhk.edu.hk/leojia/papers/mpa_cvpr16.pdf

(ECCV 2014) Simultaneous Detection and Segmentation
Paper: https://people.eecs.berkeley.edu/~rbg/papers/BharathECCV2014.pdf
Project Page: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/sds/
Code: https://github.com/bharath272/sds_eccv2014

(CVPR 2016) Attention to Scale: Scale-aware Semantic Image Segmentation
Paper: https://arxiv.org/abs/1511.03339
Project Page: http://liangchiehchen.com/projects/DeepLab.html
Code: https://bitbucket.org/aquariusjay/deeplab-public-ver2