img_segmentation.md

Semantic and Instance Segmentation

2023

• Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation. [pdf]

  • Linshan Wu, Leyuan Fang, Xingxin He, Min He, Jiayi Ma, and Zhun Zhong. TPAMI 2023

• Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation. [project page]

  • Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, and Jie Chen. CVPR 2023

• Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation. [project page]

  • Zhen Zhao, Sifan Long, Jimin Pi, Jingdong Wang, and Luping Zhou. CVPR 2023

• Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation. [project page]

  • Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, and Jingdong Wang. CVPR 2023

• Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation. [project page]

  • Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, and Luping Zhou. CVPR 2023

• Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation. [project page]

  • Xiaoyang Wang, Bingfeng Zhang, Limin Yu, and Jimin Xiao. CVPR 2023

• SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. [project page]

  • Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, and Yefeng Zheng. CVPR 2023

• LaserMix for Semi-Supervised LiDAR Semantic Segmentation. [project page]

  • Lingdong Kong, Jiawei Ren, Liang Pan, and Ziwei Liu. CVPR 2023

• Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. [project page]

  • Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, and Yinghuan Shi. CVPR 2023

2022

• Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant. [pdf]

  • Ying Jin, Jiaqi Wang, Dahua Lin. Neurips 2022

• Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. [pdf]

  • Haiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang. Neurips 2022

• Semi-Supervised Video Semantic Segmentation With Inter-Frame Feature Reconstruction. [pdf] [code]

  • Jiafan Zhuang, Zilei Wang, Yuan Gao. CVPR 2022

• TWIST: Two-Way Inter-Label Self-Training for Semi-Supervised 3D Instance Segmentation. [pdf]

  • Ruihang Chu, Xiaoqing Ye, Zhengzhe Liu, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia. CVPR 2022

• Semi-supervised Semantic Segmentation with Error Localization Network. [pdf]

  • Donghyeon Kwon, Suha Kwak. CVPR 2022

• UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation. [pdf]

  • Jiashuo Fan, Bin Gao, Huan Jin, Lihui Jiang. CVPR 2022

• Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation. [pdf] [code]

  • Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro. CVPR 2022

• Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images. [pdf]

  • Huisi Wu, Zhaoze Wang, Youyi Song, Lin Yang, Jing Qin. CVPR 2022

• Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation. [pdf]

  • Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu. CVPR 2022

• Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?. [pdf]

  • Zhenyu Wang, Yali Li, Shengjin Wang. CVPR 2022

• Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation. [pdf]

  • Jianfeng Wang, Thomas Lukasiewicz. CVPR 2022

• Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels. [pdf]

  • Yuchao Wang, Haochen Wang, Yujun Shen, Jingjing Fei, Wei Li, Guoqiang Jin, Liwei Wu, Rui Zhao, Xinyi Le. CVPR 2022

2021

• Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels. [pdf]

  • Jizong Peng, Ping Wang, Chrisitian Desrosiers, Marco Pedersoli. NeurIPS 2021

• Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. [pdf] [code]

  • Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang. NeurIPS 2021

• Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From a Class-Wise Memory Bank. [pdf]

  • Iñigo Alonso, Alberto Sabater, David Ferstl, Luis Montesano, Ana C. Murillo. ICCV 2021

• Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. [pdf]

  • Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang. ICCV 2021

• A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation. [pdf]

  • Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li. ICCV 2021

• Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. [pdf]

  • Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon. ICCV 2021

• Re-Distributing Biased Pseudo Labels for Semi-Supervised Semantic Segmentation: A Baseline Investigation. [pdf] [code]

  • Ruifei He, Jihan Yang, Xiaojuan Qi. ICCV 2021

• Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation. [pdf]

  • Huisi Wu, Guilian Chen, Zhenkun Wen, Jing Qin. ICCV 2021

• Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation. [pdf]

  • Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia. ICCV 2021

• Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. [pdf] [code]

  • Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang. NeurIPS 2021

• Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation. [pdf]

  • Prashant Pandey, Ajey Pai, Nisarg Bhatt, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam. MICCAI 2021

• ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation. [pdf] [code]

  • Xinyue Huo, Lingxi Xie, Jianzhong He, Zijie Yang, Wengang Zhou, Houqiang Li, Qi Tian. CVPR 2021

• Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. [pdf] [code]

  • Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler. CVPR 2021

• ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation. [pdf] [code]

  • Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi and Yang Gao. CVPR 2021.

• Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation. [pdf] [code]

  • Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak. CVPR 2021

• Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. [pdf]

  • Jungbeom Lee, Eunji Kim, Sungroh Yoon. CVPR 2021

• Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision. [pdf] [code]

  • Xiaokang Chen, Yuhui Yuan, Gang Zeng, Jingdong Wang. CVPR 2021.

• Semi-supervised Semantic Segmentation with Directional Context-aware Consistency. [pdf] [code]

  • Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia. CVPR 2021

• ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning. [pdf] [code]

  • Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson. WACV 2021

2020

• Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum. [pdf] [code]

  • Zhengyang Feng, Qianyu Zhou, Guangliang Cheng, Xin Tan, Jianping Shi, Lizhuang Ma. Preprint 2020

• PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. [pdf] [code]

  • Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister. Preprint 2020

• Semi-supervised semantic segmentation needs strong, varied perturbations. [pdf] [code]

  • Geoff French, Samuli Laine, Timo Aila, Michal Mackiewicz, Graham Finlayson. BMVC 2020

• Guided Collaborative Training for Pixel-wise Semi-Supervised Learning. [pdf] [code]

  • Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W.H. Lau. ECCV 2020

• Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. [pdf]

  • Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens. ECCV 2020

• A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. [pdf]

  • Rihuan Ke, Angelica Aviles-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb. CVPR 2020

• Learning Saliency Propagation for Semi-Supervised Instance Segmentation. [pdf] [code]

  • Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu. CVPR 2020

• Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. [pdf] [code]

  • Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. CVPR 2020

• Semi-Supervised Semantic Segmentation with Cross-Consistency Training. [pdf] [code]

  • Yassine Ouali, Céline Hudelot, Myriam Tami. CVPR 2020

• Semi-Supervised Semantic Image Segmentation with Self-correcting Networks. [pdf]

  • Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready. CVPR 2020

2019

• Semi-Supervised Semantic Segmentation with High- and Low-level Consistency. [pdf] [code]

  • Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox. TPAMI 2019

• CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. [pdf] [code]

  • Kevin Duarte, Yogesh S. Rawat, Mubarak Shah. ICCV 2019

• Universal Semi-Supervised Semantic Segmentation. [pdf] [code]

  • Tarun Kalluri, Girish Varma, Manmohan Chandraker, C V Jawahar. ICCV 2019

• Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations. [pdf] [code]

  • Jiwoon Ahn, Sunghyun Cho, Suha Kwak. CVPR 2019

• FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. [pdf]

  • Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon. CVPR 2019

2018

• Adversarial Learning for Semi-Supervised Semantic Segmentation. [pdf] [code]

  • Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang. BMVC 2018

• Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features. [pdf]

  • Xiang Wang, Shaodi You, Xi Li, Huimin Ma. CVPR 2018

• Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation. [pdf] [code]

  • Jiwoon Ahn, Suha Kwak. CVPR 2018

• Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. [pdf]

  • Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan. CVPR 2018

• Tell Me Where to Look: Guided Attention Inference Network. [pdf]

  • Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu. CVPR 2018

• Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation. [pdf]

  • Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang. CVPR 2018

• Weakly- and Semi-Supervised Panoptic Segmentation. [pdf] [code]

  • Qizhu Li, Anurag Arnab, Philip H.S. Torr. ECCV 2018

• Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing. [pdf] [code]

  • Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, Jingdong Wang.. ECCV 2018

• Transferable Semi-Supervised Semantic Segmentation. [pdf]

  • Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng. AAAI 2018

2017

• Semi Supervised Semantic Segmentation Using Generative Adversarial Network. [pdf]

  • Nasim Souly, Concetto Spampinato, Mubarak Shah. ICCV 2017

• Simple Does It: Weakly Supervised Instance and Semantic Segmentation. [pdf] [code]

  • Anna Khoreva, Rodrigo Benenson, Jan Hosang, Matthias Hein, Bernt Schiele. CVPR 2017

• Learning random-walk label propagation for weakly-supervised semantic segmentation. [pdf]

  • Paul Vernaza, Manmohan Chandraker. CVPR 2017

2015

• Semi-Supervised Normalized Cuts for Image Segmentation. [pdf]

  • Selene E. Chew, Nathan D. Cahill. ICCV 2015

• Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. [pdf] [code]

  • George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille. ICCV 2015

• Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. [pdf]

  • Seunghoon Hong, Hyeonwoo Noh, Bohyung Han. NeurIPS 2015

• BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation. [pdf]

  • Jifeng Dai, Kaiming He, Jian Sun. CVPR 2015

• SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. [pdf]

  • Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen. ECCV 2015

2013

• Semi-supervised Learning for Large Scale Image Cosegmentation. [pdf]

  • Zhengxiang Wang, Rujie Liu. ICCV 2013

• Semi-supervised Learning for Large Scale Image Cosegmentation. [pdf]

  • Ke Zhang, Wei Zhang, Yingbin Zheng, Xiangyang Xue. AAAI 2013