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In this paper we focus on the spatial nature of visual domain shift, attempting to learn where domain adaptation originates in each given image of the source and target set.
Domain adaptation from multiple sources via auxiliary classifiers
Duan, L., Tsang, I.W., Xu, D., Chua, T.S.: · 2009
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Duan, L., Tsang, I.W., Xu, D., Maybank, S.J.: · 2009
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Adapting visual category models to new domains
Saenko, K., Kulis, B., Fritz, M., Darrell, T.: · 2010
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Lim, J.J., Salakhutdinov, R., Torralba, A.: · 2011
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Geodesic flow kernel for unsupervised domain adaptation
Gong, B., Shi, Y., Sha, F., Grauman, K.: · 2012
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Discovering latent domains for multisource domain adaptation
Hoffman, J., Kulis, B., Darrell, T., Saenko, K.: · 2012
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A kernel two-sample test
Gretton, A., Borgwardt, K.M., Rasch, M.J., Schölkopf, B., Smola, A.: · 2012
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Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
Gong, B., Grauman, K., Sha, F.: · 2013
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Reshaping visual datasets for domain adaptation
Gong, B., Grauman, K., Sha, F.: · 2013
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Fernando, B., Habrard, A., Sebban, M., Tuytelaars, T.: · 2013
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Hoffman, J., Rodner, E., Donahue, J., Saenko, K., Darrell, T.: · 2013
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Tommasi, T., Caputo, B.: · 2013
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Tzeng, E., Hoffman, J., Zhang, N., Saenko, K., Darrell, T.: · 2014
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Zeiler, M.D., Fergus, R.: · 2014
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Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014
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Multi-scale orderless pooling of deep convolutional activation features
Yunchao Gong, Liwei Wang, R.G., Lazebnik, S.: · 2014
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Long, M., Cao, Y., Wang, J., Jordan, M.: · 2015
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Joint cross-domain classification and subspace learning for unsupervised adaptation
Fernando, B., Tommasi, T., Tuytelaars, T.: · 2015
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Simultaneous deep transfer across domains and tasks
Tzeng, E., Hoffman, J., Darrell, T., Saenko, K.: · 2015
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Object detectors emerge in deep scene cnns
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Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., Torralba, A.: · 2015
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When naïve bayes nearest neighbours meet convolutional neural networks
Kuzborskij, I., Carlucci, F.M., Caputo, B.: · 2016
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