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Semantic segmentation plays a fundamental role in a broad variety of computer vision applications, providing key information for the global understanding of an image.
Signature Verification Using a ”Siamese” Time Delay Neural Network
Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, and Roopak Shah · 1993
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Learning to Detect Natural Image Boundaries using Local Brightness, Color, and Texture Cues
David R. Martin, Charless C. Fowlkes, and Jitendra Malik · 2004
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Semi-supervised learning by entropy minimization
Yves Grandvalet and Yoshua Bengio · 2005
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Tri-training: Exploiting Unlabeled Data using Three Classifiers
Zhi-Hua Zhou and Ming Li · 2005
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Integrating Structured Biological Data by Kernel Maximum Mean Discrepancy
Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, and Alex J. Smola · 2006
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TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Jamie Shotton, John Winn, Carsten Rother, and Antonio Criminisi · 2006
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Learning from Multiple Sources
Koby Crammer, Michael Kearns, and Jennifer Wortman · 2008
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Curriculum learning
Yoshua Bengio, Jerome Louradour, Ronan Collobert, and Jason Weston · 2009
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Semantic object classes in video: A high-definition ground truth database
Gabriel J. Brostow, Julien Fauqueur, and Roberto Cipolla · 2009
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Covariate Shift by Kernel Mean Matching
Arthur Gretton, Alex Smola, Jiayuan Huang, Marcel Schmittfull, Karsten Borgwardt, and Bernhard Schölkopf · 2009
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Robust Higher Order Potentials for Enforcing Label Consistency
Pushmeet Kohli, L’ubor Ladický, and Philip H.S. Torr · 2009
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Domain Adaptation with Multiple Sources
Yishay Mansour, Mehryar Mohri, and Afshin Rostamizadeh · 2009
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A Theory of Learning from Different Domains
Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan · 2010
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The Pascal Visual Object Classes (VOC) Challenge
Marc Everingham, Luc Van Gool, Chris Williams, John Winn, and Andrew Zisserman · 2010
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Cross Validation Framework to Choose Amongst Models and Datasets for Transfer Learning
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, and Jiangtao Ren · 2010
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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What is a Good Evaluation Measure for Semantic Segmentation?
Gabriela Csurka, Diane Larlus, and Florent Perronin · 2013
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Pseudo-label : The simple and efficient semi-supervised learning method for deep neural networks
Dong-Hyun Lee · 2013
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Generative Adversarial Nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Intriguing Properties of Neural Networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
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Exploiting Low-rank Structure from Latent Domains for Domain Generalization
Zheng Xu, Wen Li, Li Niu, and Dong Xu · 2014
Earlier work this paper cites.
Scene Labeling with LSTM Recurrent Neural Networks
Wonmin Byeon, Thomas M. Breuel, Federico Raue, and Marcus Liwicki · 2015
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Chen Liang-Chieh, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan Yuille · 2015
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ParseNet: Looking Wider to See Better
Wei Liu, Andrew Rabinovich, and Alexander C. Berg · 2015
Earlier work this paper cites.
Fully Convolutional Networks for Semantic Segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang, and Michael I. Jordan · 2015
Earlier work this paper cites.
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, and Bohyung Han · 2015
Earlier work this paper cites.
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell, and Kate Saenko · 2015
Earlier work this paper cites.
Multi-Scale Context Aggregation by Dilated Convolutions
Fisher Yu and Vladlen Koltun · 2015
Earlier work this paper cites.
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, and Philip H. S. Torr · 2015
Earlier work this paper cites.
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Siddhartha Chandra and Iasonas Kokkinos · 2016
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Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, and Alan L. Yuille · 2016
Earlier work this paper cites.
Domain adaptation in the absence of source domain data
Boris Chidlovskii, Stephane Clinchant, and Gabriela Csurka · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor S. Lempitsky · 2016
Earlier work this paper cites.
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
Golnaz Ghiasi and Charless C. Fowlkes · 2016
Earlier work this paper cites.
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman, Dequan Wang, Fisher Yu, and Trevo Darrell · 2016
Earlier work this paper cites.
Temporal Ensembling for Semisupervised Learning
Samuli Laine and Timo Aila · 2016
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Semantic Object Parsing with Graph LSTM
Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, and Shuicheng Yan · 2016
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Coupled generative adversarial networks
Ming-Yu Liu and Oncel Tuzel · 2016
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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke, Abhishek Chaurasia, AbhishekSangpil Kim, and Eugenio Culurciello · 2016
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Playing for Data: Ground Truth from Computer Games
Stephan R. Richter, Vibhav Vineet, Stefan Roth, and Koltun Vladlen · 2016
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The SYNTHIA Dataset: a Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
German Ros, Laura Sellart, Joanna Materzyńska, David Vázquez, and Antonio M. López · 2016
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Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor S. Lempitsky · 2016
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ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin, Marco Ciccone, Adriana Romero, Kyle Kastner, Kyunghyun Cho, Yoshua Bengio, Matteo Matteucci, and Aaron Courville · 2016
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Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A Efros · 2016
Earlier work this paper cites.
Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng, Yang Song, Thomas Leung, and Ian Goodfellow · 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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Unsupervised pixel-level domain adaptation with generative adversarial networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, and Dilip Krishnan · 2017
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Deeplab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2017
Earlier work this paper cites.
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, and Min Sun · 2017
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Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Sun Huang and Serge Belongie · 2017
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Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh, and Gianfranco Doretto · 2017
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The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes
Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulò, and Peter Kontschieder · 2017
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Open Set Domain Adaptation
Pau Panareda Busto and Juergen Gall · 2017
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Semi-supervised Semantic Segmentation using Generative Adversarial Network
Nasim Souly, Concetto Spampinato, and Mubarak Shah · 2017
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Unsupervised cross-domain image generation
Yaniv Taigman, Adam Polyak, and Lior Wolf · 2017
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Mean Teachers are Better Role Models: Weight-averaged Consistency Targets Improve Semi-supervised Deep Learning Results
Antti Tarvainen and Harri Valpola · 2017
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Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
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Adversarial Discriminative Domain Adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
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Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptations
Markus Wulfmeier, Alex Bewley, and Ingmar Posner · 2017
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Pyramid Scene Parsing Network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros · 2017
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A Domain-adaptive Two-stream U-Net for Electron Microscopy Image Segmentation
Róger Bermúdez-Chacón, Pablo M’arquez-Neila, Mathieu Salzmann, and Pascal Fua · 2018
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Coco-stuff: Thing and stuff classes in context
Holger Caesar, Jasper Uijlings, and Vittorio Ferrari · 2018
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Partial Adversarial Domain Adaptation
Zhangjie Cao, Lijia Ma, Mingsheng Long, and Jianmin Wang · 2018
Earlier work this paper cites.
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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Road: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Yuhua Chen, Wen Li, and Luc Van Gool · 2018
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Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach
Shuai Di, Honggang Zhang, Chun-Guang Li, Xue Mei, Danil Prokhorov, and Haibin Ling · 2018
Earlier work this paper cites.
Self-ensembling for Visual Domain Adaptation
Geoff French, Michal Mackiewicz, and Mark Fisher · 2018
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Unsupervised representation learning by predicting image rotations
Spyros Gidaris, Praveer Singh, and Nikos Komodakis · 2018
Earlier work this paper cites.
Algorithms and Theory for Multiple-Source Adaptation
Judy Hoffman, Mehryar Mohri, and Ningshan Zhang · 2018
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, and Trevor Darrel · 2018
Earlier work this paper cites.
Online Learning: A Comprehensive Survey
Steven C.H. Hoi, Doyen Sahoo, Jing Lu, and Peilin Zhao · 2018
Earlier work this paper cites.
Conditional Generative Adversarial Network for Structured Domain Adaptation
Weixiang Hong, Zhenzhen Wang, Ming Yang, and Junsong Yuan · 2018
Earlier work this paper cites.
Domain Transfer Through Deep Activation Matching
Haoshuo Huang, Qixing Huang, and Philipp Krähenbühl · 2018
Earlier work this paper cites.
Adversarial Learning for Semi-supervised Semantic Segmentation
Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang · 2018
Earlier work this paper cites.
Domain Generalization with Adversarial Feature Learning
Haoliang Li, Sinno Jialin Pan, Shiqi Wang, and Alex C. Kot · 2018
Earlier work this paper cites.
Pyramid Attention Network for Semantic Segmentation
Hanchao Li, Pengfei Xiong, Jie An, and Lingxue Wang · 2018
Cited alongside, same era.
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption
Peilun Li, Xiaodan Liang, Daoyuan Jia, and Eric P. Xing · 2018
Cited alongside, same era.
Extracting Relationships by Multi-Domain Matching
Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, and David E. Carlson · 2018
Cited alongside, same era.
Conditional Adversarial Domain Adaptation
Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael I. Jordan · 2018
Cited alongside, same era.
Image to Image Translation for Domain Adaptation
Zak Murez, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, and Kyungnam Kim · 2018
Cited alongside, same era.
Adversarial Dropout Regularization
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, and Kate Saenko · 2018
Cited alongside, same era.
Model Adaptation: Unsupervised Domain Adaptation Without Source Data
Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, and Si Wu · 2020
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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang, Dapeng Hu, and Jiashi Feng · 2020
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MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Quande Liu, Qi Dou, Lequan Yu, and Pheng Ann Heng · 2020
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Open Compound Domain Adaptation
Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, and Boqing Gong · 2020
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Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network
Wenfeng Luo and Meng Yang · 2020
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Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer
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Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, and Tatsuya Harada · 2018
Cited alongside, same era.
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, and Tatsuya Harada · 2018
Cited alongside, same era.
Model adaptation with synthetic and real data for semantic dense foggy scene understanding
Christos Sakaridis, Dengxin Dai, Simon Hecker, and Luc Van Gool · 2018
Cited alongside, same era.
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, and Rama Chellappa · 2018
Cited alongside, same era.
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
Marvin Teichmann, Michael Weber, Marius Zöllner, Roberto Cipolla, and Raquel Urtasun · 2018
Cited alongside, same era.
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, and Manmohan Chandraker · 2018
Cited alongside, same era.
Fengmao Lv, Tao Liang, Xiang Chen, and Lin Guosheng · 2020
Later among the works it cites.
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei, Chuang Zhu, Jiaqi Zou, and Shanghang Zhang · 2020
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Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, and Demetri Terzopoulos · 2020
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Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
Luigi Musto and Andrea Zinelli · 2020
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Semi-supervised Semantic Segmentation with Cross-consistency Training
Yassine Ouali, Céline Hudelot, and Myriam Tami · 2020
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Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
Fei Pan, Inkyu Shin, Francois Rameau, Seokju Lee, and In So Kweon · 2020
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Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Xingchao Peng, Yichen Li, and Kate Saenko · 2020
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Learning to Learn Single Domain Generalization
Fengchun Qiao, Long Zhao, and Xi Peng · 2020
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Correlation-aware Adversarial Domain Adaptation and Generalization
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, and Sridha Sridharan · 2020
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Multi-source Open-Set Deep Adversarial Domain Adaptation
Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, and Subhasis Chaudhuri · 2020
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Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo, Yumin Suh, Dongwan Kim, and Bohyung Han · 2020
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Two-Phase Pseudo Label Densification for Self-training Based Domain Adaptation
Inkyu Shin, Sanghyun Woo, Fei Pan, and In So Kweon · 2020
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StandardGAN: Multi-Source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
Onur Tasar, Yuliya Tarabalka, Alain Giros, Pierre Alliez, and Sebastien Clerc · 2020
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Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo, Andrea Maracani, Umberto Michieli, and Pietro Zanuttigh · 2020
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Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment
Marco Toldo, Umberto Michieli, Gianluca Agresti, and Pietro Zanuttigh · 2020
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Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, and Tao Qin · 2020
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Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, and Pheng-Ann Heng · 2020
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Alleviating semantic-level shift: A semi-supervised domain adaptation method for semantic segmentation
Zhonghao Wang, Yunchao Wei, Rogerio Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S Huang, and Honghui Shi · 2020
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Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang, Mo You, Yunchao Wei, Rogerio Feris, Jinjun Xiong, Wen-mei Hwu, Thomas S. Huang, and Humphrey Shi · 2020
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A survey of unsupervised deep domain adaptation
Garrett Wilson and Diane J. Cook · 2020
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Label-driven Reconstruction for Domain Adaptation in Semantic Segmentation
Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, and Junzhou Huang · 2020
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An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, and Liang Lin · 2020
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Curriculum Manager for Source Selection in Multi-Source Domain Adaptation
Luyu Yang, Yogesh Balaji, Ser-Nam Lim, and Abhinav Shrivastava · 2020
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Phase Consistent Ecological Domain Adaptation
Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, and Stefano Soatto · 2020
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FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang and Stefano Soatto · 2020
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BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
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Object-Contextual Representations for Semantic Segmentation
Yuhui Yuan, Xilin Chen, and Jingdong Wang · 2020
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A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
Yang Zhang, Philip David, Hassan Foroosh, and Boqing Gong · 2020
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Transferring and Regularizing Prediction for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, and Tao Mei · 2020
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Multi-source Distilling Domain Adaptation
Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, and Kurt Keutzer · 2020
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Unsupervised Scene Adaptation with Memory Regularization in vivo
Zhedong Zheng and Yi Yang · 2020
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Domain Generalization: A Survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy · 2020
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Domain Adaptive Ensemble Learning
Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang · 2020
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Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov and Stefan Roth · 2021
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Semi-supervised domain adaptation based on dual-level domain mixing for semantic segmentation
Shuaijun Chen, Xu Jia, Jianzhong He, Yongjie Shi, and Jianzhuang Liu · 2021
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Dual Path Learning for Domain Adaptation of Semantic Segmentation
Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Fang Wen, and Wenqiang Zhang · 2021
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A Discriminative Technique for Multiple-Source Adaptation
Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, and Ningshan Zhang · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Cluster, split, fuse, and update: Meta-learning for open compound domain adaptive semantic segmentation
Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, and Luc Van Gool · 2021
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mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets
Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, and Luc Van Gool · 2021
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PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, and Lizhuang Ma · 2021
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SOTR: Segmenting Objects With Transformers
Ruohao Guo, Dantong Niu, Liao Qu, and Zhenbo Li · 2021
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MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
Xiaoqing Guo, Chen Yang, Baopu Li, and Yixuan Yuan · 2021
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Multi-source domain adaptation with collaborative learning for semantic segmentation
Jianzhong He, Xu Jia, Shuaijun Chen, and Jianzhuang Liu · 2021
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RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
Jiaxing Huang, Dayan Guan, Aoran Xiao, and Shijian Lu · 2021
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Multi-Target Domain Adaptation with Collaborative Consistency Learning
Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, and Shengjin Wang · 2021
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Towards Novel Target Discovery Through Open-Set Domain Adaptation
Taotao Jing, Hongfu Liu, and Zhengming Ding · 2021
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Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation
Divya Kothandaraman, Athira Nambiar, and Anurag Mittal · 2021
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Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Jogendra Nath Kundu, Akshay Kulkarni, Amit Singh, Varun Jampani, and R. Venkatesh Babu · 2021
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Domain Impression: A Source Data Free Domain Adaptation Method
Vinod K. Kurmi, Venkatesh K. Subramanian, and Vinay P. Namboodiri · 2021
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Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images
Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang · 2021
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Zero-Shot Day-Night Domain Adaptation with a Physics Prior
Attila Lengyel, Sourav Garg, Michael Milford, and Jan C. van Gemert · 2021
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Domain Consensus Clustering for Universal Domain Adaptation
Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, and Yi Yang · 2021
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Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate
Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C.-C. Jay Kuo, Georges El Fakhri, and Jonghye Woo · 2021
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Source-free domain adaptation for semantic segmentation
Yuang Liu, Wei Zhang, and Jun Wang · 2021
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Active Universal Domain Adaptation
Xinhong Ma, Junyu Gao, and Changsheng Xu · 2021
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Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency
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