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In this chapter, we present CORrelation ALignment (CORAL), a simple yet effective method for unsupervised domain adaptation.
Frustratingly easy domain adaptation
H. Daume III · 2007
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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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Domain adaptation from multiple sources via auxiliary classifiers
L. Duan, I. W. Tsang, D. Xu, and T. Chua · 2009
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Domain adaptation via transfer component analysis
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, and Qiang Yang · 2009
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A singular value thresholding algorithm for matrix completion
Jian-Feng Cai, Emmanuel J. Candès, and Zuowei Shen · 2010
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Object detection with discriminatively trained part-based models
Pedro F Felzenszwalb, Ross B Girshick, David McAllester, and Deva Ramanan · 2010
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Adapting visual category models to new domains
Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell · 2010
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Domain adaptation for object recognition: An unsupervised approach
R. Gopalan, R. Li, and R. Chellappa · 2011
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Learning from multiple outlooks
Maayan Harel and Shie Mannor · 2011
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What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
B. Kulis, K. Saenko, and T. Darrell · 2011
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Ensemble of exemplar-svms for object detection and beyond
Tomasz Malisiewicz, Abhinav Gupta, and Alexei A Efros · 2011
Cited alongside, same era.
Domain transfer multiple kernel learning
Lixin Duan, Ivor W. Tsang, and Dong Xu · 2012
Cited alongside, same era.
Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
Cited alongside, same era.
Discriminative decorrelation for clustering and classification
Bharath Hariharan, Jitendra Malik, and Deva Ramanan · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
Cited alongside, same era.
Unsupervised visual domain adaptation using subspace alignment
Basura Fernando, Amaury Habrard, Marc Sebban, and Tinne Tuytelaars · 2013
Cited alongside, same era.
From virtual to reality: Fast adaptation of virtual object detectors to real domains
Baochen Sun and Kate Saenko · 2014
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Deep domain confusion: Maximizing for domain invariance
Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell · 2014
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Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 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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Learning transferable features with deep adaptation networks
Mingsheng Long, Yue Cao, Jianmin Wang, and Michael I. Jordan · 2015
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Generating large scale image datasets from 3d cad models
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Decaf: A deep convolutional activation feature for generic visual recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell · 2014
Cited alongside, same era.
Interactive adaptation of real-time object detectors
Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, and Trevor Darrell · 2014
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 2014
Cited alongside, same era.
Transfer joint matching for unsupervised domain adaptation
Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, and P.S. Yu · 2014
Cited alongside, same era.
Baochen Sun, Xingchao Peng, and Kate Saenko · 2015
Later among the works it cites.
Subspace distribution alignment for unsupervised domain adaptation
Baochen Sun and Kate Saenko · 2015
Later among the works it cites.
Correlation Alignment for Domain Adaptation
Baochen Sun · 2016
Closest in time.
Return of frustratingly easy domain adaptation
Baochen Sun, Jiashi Feng, and Kate Saenko · 2016
Closest in time.
Deep coral: Correlation alignment for deep domain adaptation
Baochen Sun and Kate Saenko · 2016
Closest in time.