AlgoComp

(CVPR 2016) Attention to Scale: Scale-aware Semantic Image SegmentationPaper: https://arxiv.org/abs/1511.03339

(CVPR 2017) Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human ParsingPaper: http://www.linliang.net/files/CVPR17_LIP.pdfProject: http://hcp.sysu.edu.cn/lip/index.php

(ICCV 2015) Human Parsing with Contextualized Convolutional Neural Network(T-PAMI 2016) Human Parsing with Contextualized Convolutional Neural Network

Towards Real World Human Parsing: Multiple-Human Parsing in the Wild Paper: https://arxiv.org/pdf/1705.07206.pdf

(ICCV 2015) Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation

(CVPR 2017) Simple Does It: Weakly Supervised Instance and Semantic Segmentation

(ICCV 2015) BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

ICNet for Real-Time Semantic Segmentation on High-Resolution Images Paper: https://arxiv.org/abs/1704.08545

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Paper: https://arxiv.org/abs/1606.02147

(ICLR 2017) Learning to Remember Rare Events Paper: https://openreview.net/pdf?id=SJTQLdqlg Code: https://github.com/tensorflow/models/tree/master/learning_to_remember_rare_events

(ICLR 2017) Hypernetworks Paper: https://openreview.net/pdf?id=rkpACe1lx Code: https://github.com/hardmaru/supercell Blog: http://blog.otoro.net/2016/09/28/hyper-networks/

(ICLR 2017) Optimization As a Model For Few-Shot Learning Paper: https://openreview.net/pdf?id=rJY0-Kcll Code: https://github.com/twitter/meta-learning-lstm

(CVPR 2016) Instance-aware Semantic Segmentation via Multi-task Network CascadesPaper: https://arxiv.org/abs/1512.04412

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

Fully Convolutional Instance-aware Semantic SegmentationPaper: https://arxiv.org/abs/1611.07709

(NIPS 2014) Generative Adversarial Nets Paper: https://papers.nips.cc/paper/5423-generative-adversarial-nets

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

(NIPS 2015) Deep Generative Image Models using a Laplacian Pyramid of Adversarial NetworksPaper: http://arxiv.org/abs/1506.05751

(ICLR 2016) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Paper: http://arxiv.org/abs/1511.06434

Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationPaper: https://arxiv.org/abs/1802.02611Blog: https://research.googleblog.com/2018/03/semantic-image-segmentation-wi...