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In this paper we present a solution to the task of "unsupervised domain adaptation (UDA) of a given pre-trained semantic segmentation model without relying on any source domain representations".
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Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John Winn, and Andrew Zisserman · 2015
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Yaroslav Ganin and Victor Lempitsky · 2015
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Sergey Ioffe and Christian Szegedy · 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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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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FCNs in the Wild: Pixel-Level Adversarial and Constraint-Based Adaptation
Judy Hoffman, Dequan Wang, Fischer Yu, and Trevor Darrell · 2016
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Less-Forgetting Learning in Deep Neural Networks
H. Jung, J. Ju, M. Jung, and J. Kim · 2016
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Overcoming Catastrophic Forgetting in Neural Networks
J. Kirkpatrick, R. Pascanu, N. Rabinowitz, J. Veness, G. Desjardins, A. A. Rusu, K. Milan, J. Quan, T. Ramalho, A. Grabska-Barwinska, D. Hassabis, C. Clopath, D. Kumarana, and R. Hadsella · 2016
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Playing for Data: Ground Truth from Computer Games
Stephan Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 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 Materzynska, David Vazquez, and Antonio M. Lopez · 2016
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Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2016
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Arbitrary Style Transfer in Real-Time With Adaptive Instance Normalization
Xun Huang and Serge Belongie · 2017
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Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe · 2017
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Revisiting Batch Normalization for Practical Domain Adaptation
Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, and Xiaodi Hou · 2017
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AutoDIAL: Automatic DomaIn Alignment Layers
Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo, Elisa Ricci, and Samuel Rota Bulo · 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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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Philip Isola, Kate Saenko, Alexei A. Efros, and Trevor Darrell · 2018
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Adaptive Batch Normalization for Practical Domain Adaptation
Yanghao Li, Naiyan Wang, Jianping Shi, Xiaodi Hou, and Jiaying Liu · 2018
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Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, and Elisa Ricci · 2018
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Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Batch-Instance Normalization for Adaptively Style-Invariant Neural Network
Hyeonseob Nam and Hyo-Eun Kim · 2018
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Xingang Pan, Ping Luo, Jianping Shi, and Xiaoou Tang · 2018
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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
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Group Normalization
Yuxin Wu and Kaiming He · 2018
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Incremental Adversarial Domain Adaptation for Continually Changing Environments
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Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, and Xiaowei Xu · 2020
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Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
Jiaxing Huang, Shijian Lu, Dayan Guan, and Xiaobing Zhang · 2020
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Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
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Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
Marvin Klingner, Andreas Bär, and Tim Fingscheidt · 2020
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Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
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Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, and Jinsong Wang · 2018
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Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain
Jan-Aike Bolte, Markus Kamp, Antonia Breuer, Silviu Homoceanu, Peter Schlicht, Fabian Hüger, Daniel Lipinski, and Tim Fingscheidt · 2019
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Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, and Bohyung Han · 2019
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Domain Adaptation for Semantic Segmentation With Maximum Squares Loss
Minghao Chen, Hongyang Xue, and Deng Cai · 2019
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Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation
Jaehoon Choi, Taekyung Kim, and Changick Kim · 2019
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Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, and Ben Glocker · 2019
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SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation
Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, and Xiaolin Zhang · 2019
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Model Adaptation: Unsupervised Domain Adaptation Without Source Data
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Self-Supervised Deep Visual Odometry With Online Adaptation
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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
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Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
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Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
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Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
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FDA: Fourier Domain Adaptation for Semantic Segmentation
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Generalizable Semantic Segmentation via Model-Agnostic Learning and Target-Specific Normalization
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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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A Free Lunch for Unsupervised Domain Adaptive Object Detection Without Source Data
Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, and Yueting Zhuang · 2021
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Source-Free Domain Adaptation for Semantic Segmentation
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SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
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SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
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Uncertainty Reduction for Model Adaptation in Semantic Segmentation
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Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer
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DACS: Domain Adaptation via Cross-Domain Mixed Sampling
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SoFA: Source-Data-Free Feature Alignment for Unsupervised Domain Adaptation
Hao-Wei Yeh, Baoyao Yang, Pong C. Yuen, and Tatsuya Harada · 2021
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