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Semi-supervised semantic segmentation learns a model for classifying pixels into specific classes using a few labeled samples and numerous unlabeled images.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Semantic contours from inverse detectors
Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Hemis: Hetero-modal image segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, and Yoshua Bengio · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2017
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger · 2017
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Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges
Mennatullah Siam, Sara Elkerdawy, Martin Jagersand, and Senthil Yogamani · 2017
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Scene parsing through ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
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A comparative study of real-time semantic segmentation for autonomous driving
Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Yogamani, Martin Jagersand, and Hong Zhang · 2018
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Deep learning techniques for medical image segmentation: achievements and challenges
Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, and Paul Kennedy · 2019
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Decoupled weight decay regularization
Loshchilov Ilya, Hutter Frank, et al · 2019
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isaid: A large-scale dataset for instance segmentation in aerial images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, and Xiang Bai · 2019
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Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges
Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Glaeser, Fabian Timm, Werner Wiesbeck, and Klaus Dietmayer · 2020
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Deep high-resolution representation learning for visual recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, et al · 2020
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Pseudoseg: Designing pseudo labels for semantic segmentation
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, and Tomas Pfister · 2021
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Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation
Lukas Hoyer, Dengxin Dai, and Luc Van Gool · 2022
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Hrda: Context-aware high-resolution domain-adaptive semantic segmentation
Lukas Hoyer, Dengxin Dai, and Luc Van Gool · 2022
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Semi-supervised semantic segmentation with error localization network
Donghyeon Kwon and Suha Kwak · 2022
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Perturbed and strict mean teachers for semi-supervised semantic segmentation
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro · 2022
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Foreground-aware relation network for geospatial object segmentation in high spatial resolution remote sensing imagery
Zhuo Zheng, Yanfei Zhong, Junjue Wang, and Ailong Ma · 2020
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Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank
Inigo Alonso, Alberto Sabater, David Ferstl, Luis Montesano, and Ana C Murillo · 2021
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Semi-supervised semantic segmentation with cross pseudo supervision
Xiaokang Chen, Yuhui Yuan, Gang Zeng, and Jingdong Wang · 2021
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Re-distributing biased pseudo labels for semi-supervised semantic segmentation: A baseline investigation
Ruifei He, Jihan Yang, and Xiaojuan Qi · 2021
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Semi-supervised semantic segmentation via adaptive equalization learning
Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, and Liwei Wang · 2021
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Semi-supervised semantic segmentation with directional context-aware consistency
Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, and Jiaya Jia · 2021
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Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
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Perturbed and strict mean teachers for semi-supervised semantic segmentation
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro · 2022
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Unsupervised change detection based on image reconstruction loss
Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, and Dong-Geol Choi · 2022
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Semi-supervised semantic segmentation using unreliable pseudo-labels
Yuchao Wang, Haochen Wang, Yujun Shen, Jingjing Fei, Wei Li, Guoqiang Jin, Liwei Wu, Rui Zhao, and Xinyi Le · 2022
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Feature-selection high-resolution network with hypersphere embedding for semantic segmentation of vhr remote sensing images
Hanwen Xu, Xinming Tang, Bo Ai, Fanlin Yang, Zhen Wen, and Xiaomeng Yang · 2022
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Revisiting weak-to-strong consistency in semi-supervised semantic segmentation
Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, and Yinghuan Shi · 2022
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St++: Make self-training work better for semi-supervised semantic segmentation
Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, and Yang Gao · 2022
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Region-level contrastive and consistency learning for semi-supervised semantic segmentation
Jianrong Zhang, Tianyi Wu, Chuanghao Ding, Hongwei Zhao, and Guodong Guo · 2022
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Bidirectional domain mixup for domain adaptive semantic segmentation
Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In-So Kweon, and Dong-Geol Choi · 2023
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Self-pair: Synthesizing changes from single source for object change detection in remote sensing imagery
Minseok Seo, Hakjin Lee, Yongjin Jeon, and Junghoon Seo · 2023
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