Awesome - Semantic Segmentation

A curated list of deep learning semantic segmentation papers. Papers are classified into various categlories.

General Semantic Segmentation

Chanllenge: How to effectively Aggregate Global Conext (large receptive fields)

ParseNet

arXiv 2015 ParseNet: Looking Wider to See Better Jonathan Long∗ Evan Shelhamer∗ Trevor Darrell

pdf: https://arxiv.org/abs/1411.4038

GCN

CVPR 2017 Large Kernel Matters ——Improve Semantic Segmentation by Global Convolutional Network Chao Peng Xiangyu Zhang Gang Yu Guiming Luo Jian Sun

pdf: https://arxiv.org/abs/1703.02719

PSPNet

CVPR 2017 Pyramid Scene Parsing Network Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia

pdf: https://arxiv.org/abs/1612.01105?imageView2/2/w/700

PSANet

ECCV 2018 PSANet: Point-wise Spatial AttentionNetwork for Scene Parsing Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia

pdf: https://hszhao.github.io/papers/eccv18_psanet.pdf

Chanllenge: How to recover the reduced spatial information caused by consecutive pooling operator or convolution with stride

FCN

Fully Convolutional Networks for Semantic Segmentation CVPR 2015 Jonathan Long∗ Evan Shelhamer∗ Trevor Darrell

pdf: https://arxiv.org/abs/1411.4038

SegNet

TPAMI 2017 SegNet: A Deep Convolutional Encoder-DecoderArchitecture for Image Segmentation Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla

pdf: https://arxiv.org/abs/1511.00561

UNet

MICCAI 2016 U-Net: Convolutional Networks for BiomedicalImage Segmentation Olaf Ronneberger, Philipp Fischer, and Thomas Brox

pdf: https://arxiv.org/abs/1505.04597

RefineNet

CVPR 2017 RefineNet: Multi-Path Refinement Networksfor High-Resolution Semantic Segmentation Guosheng Lin, Anton Milan, Chunhua Shen, Ian Reid

pdf: https://arxiv.org/abs/1611.06612

DeconvNet

ICCV 2015 Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh, Seunghoon Hong, Bohyung Han

pdf: https://arxiv.org/abs/1505.04366

Hypercolumns

CVPR 2015 Hypercolumns for Object Segmentation and Fine-grained Localization Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik

pdf: https://arxiv.org/abs/1411.5752

DUC-HDC

WACV 2018 Understanding Convolution for Semantic Segmentation Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison Cottrell

pdf: https://arxiv.org/abs/1702.08502

Chanllenge: How to capturing multi-scale context (or multi-scale objects features)

DeepLab-CRF

TPAMI 2018 DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille

pdf: https://arxiv.org/abs/1606.00915

FoveaNet

ICCV 2017 Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang FoveaNet: Perspective-aware Urban Scene Parsing

pdf: https://arxiv.org/abs/1708.02421

DenseASPP

CVPR 2018 Maoke YangKun YuChi ZhangZhiwei LiKuiyuan Yang DenseASPP for Semantic Segmentation in Street Scenes

pdf: https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_DenseASPP_for_Semantic_CVPR_2018_paper.html

DynamicRouting

CVPR 2020 Learning Dynamic Routing for Semantic Segmentation Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun

pdf: https://arxiv.org/abs/2003.10401

SPGNet

CVPR 2019 SPGNet: Semantic Prediction Guidance for Scene Parsing Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas Huang, Wen-Mei Hwu, Honghui Shi

pdf: https://arxiv.org/abs/1908.09798

Chanllenge: Intra-class inconsis-tency and inter-class indistinction

DFN

CVPR 2018 Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang Learning a Discriminative Feature Network for Semantic Segmentation

pdf: https://arxiv.org/abs/1804.09337