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A domain adaptation method for urban scene segmentation is proposed in this work.
“Combining labeled and unlabeled data with co-training,”
Avrim Blum and Tom Mitchell, · 1998
Earlier work this paper cites.
“Tri-training: Exploiting unlabeled data using three classifiers,”
Zhi-Hua Zhou and Ming Li, · 2005
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 Jordan, · 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.
“Semantic image segmentation with deep convolutional nets and fully connected crfs,”
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille, · 2015
Earlier work this paper cites.
“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2015
Earlier work this paper cites.
“Proposal-free network for instance-level object segmentation,”
Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Jianchao Yang, Liang Lin, and Shuicheng Yan, · 2015
Cited alongside, same era.
“Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture,”
David Eigen and Rob Fergus, · 2015
Cited alongside, same era.
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille, · 2016
Cited alongside, same era.
“Playing for data: Ground truth from computer games,”
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun, · 2016
Cited alongside, same era.
“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
“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
Later among the works it cites.
“Tensorflow: Large-scale machine learning on heterogeneous distributed systems,”
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al., · 2016
Later among the works it cites.
“Curriculum domain adaptation for semantic segmentation of urban scenes,”
Yang Zhang, Philip David, and Boqing Gong, · 2017
Closest in time.
Domain Adaptation in Computer Vision Applications
Gabriela Csurka, Ed., · 2017
Closest in time.
“Adversarial discriminative domain adaptation,”
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell, · 2017
Closest in time.
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Cited alongside, same era.
“Deep coral: Correlation alignment for deep domain adaptation,”
Baochen Sun and Kate Saenko, · 2016
Cited alongside, same era.
“Fcns in the wild: Pixel-level adversarial and constraint-based adaptation,”
Judy Hoffman, Dequan Wang, Fisher Yu, and Trevor Darrell, · 2016
Cited alongside, same era.
“Asymmetric tri-training for unsupervised domain adaptation,”
Kuniaki Saito, Yoshitaka Ushiku, and Tatsuya Harada, · 2017
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“Multiple instance curriculum learning for weakly supervised object detection,”
Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, and C.-C. Jay Kuo, · 2017
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