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The ability to generalize across visual domains is crucial for the robustness of artificial recognition systems.
Gradient-based learning applied to document recognition
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Adapting visual category models to new domains
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Contour detection and hierarchical image segmentation
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Reading digits in natural images with unsupervised feature learning
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Y. Ng · 2011
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Discovering latent domains for multisource domain adaptation
J. Hoffman, B. Kulis, T. Darrell, and K. Saenko · 2012
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Robust visual domain adaptation with low-rank reconstruction
I.-H. Jhuo, D. Liu, D. T. Lee, and S.-F. Chang · 2012
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
T. Tieleman and G. Hinton · 2012
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Domain generalization for object recognition with multi-task autoencoders
M. Ghifary, W. B. Kleijn, M. Zhang, and D. Balduzzi · 2015
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Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2015
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Adam: A method for stochastic optimization
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Simultaneous deep transfer across domains and tasks
E. Tzeng, J. Hoffman, T. Darrell, and K. Saenko · 2015
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Domain Separation Networks
K. Bousmalis, G. Trigeorgis, N. Silberman, D. Krishnan, and D. Erhan · 2016
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Domain-adversarial training of neural networks
Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky · 2016
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Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
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Deep reconstruction-classification networks for unsupervised domain adaptation
M. Ghifary, W. B. Kleijn, M. Zhang, D. Balduzzi, and W. Li · 2016
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Learning transferrable representations for unsupervised domain adaptation
O. Sener, H. O. Song, A. Saxena, and S. Savarese · 2016
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Return of frustratingly easy domain adaptation
B. Sun, J. Feng, and K. Saenko · 2016
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Autodial: Automatic domain alignment layers
F. M. Carlucci, L. Porzi, B. Caputo, E. Ricci, and S. Rota Bulò · 2017
(de)2co: Deep depth colorization
F. M. Carlucci, P. Russo, and B. Caputo · 2018
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Domain generalization with domain-specific aggregation modules
A. D’Innocente and B. Caputo · 2018
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CyCADA: Cycle-consistent adversarial domain adaptation
J. Hoffman, E. Tzeng, T. Park, J.-Y. Zhu, P. Isola, K. Saenko, A. Efros, and T. Darrell · 2018
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Learning to generalize: Meta-learning for domain generalization
D. Li, Y. Yang, Y. Song, and T. M. Hospedales · 2018
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Domain generalization with adversarial feature learning
H. Li, S. Jialin Pan, S. Wang, and A. C. Kot · 2018
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Robust place categorization with deep domain generalization
M. Mancini, S. R. Bulo, B. Caputo, and E. Ricci · 2018
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Just dial: domain alignment layers for unsupervised domain adaptation
F. M. Carlucci, L. Porzi, B. Caputo, E. Ricci, and S. Rota Bulò · 2017
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Associative domain adaptation
P. Haeusser, T. Frerix, A. Mordvintsev, and D. Cremers · 2017
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Deeper, broader and artier domain generalization
D. Li, Y. Yang, Y. Z. Song, and T. M. Hospedales · 2017
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Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Deep transfer learning with joint adaptation networks
M. Long, H. Zhu, J. Wang, and M. I. Jordan · 2017
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Unified deep supervised domain adaptation and generalization
S. Motiian, M. Piccirilli, D. A. Adjeroh, and G. Doretto · 2017
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Beyond sharing weights for deep domain adaptation
A. Rozantsev, M. Salzmann, and P. Fua · 2018
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From source to target and back: symmetric bi-directional adaptive gan
P. Russo, F. M. Carlucci, T. Tommasi, and B. Caputo · 2018
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Generate to adapt: Aligning domains using generative adversarial networks
S. Sankaranarayanan, Y. Balaji, C. D. Castillo, and R. Chellappa · 2018
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Generalizing across domains via cross-gradient training
S. Shankar, V. Piratla, S. Chakrabarti, S. Chaudhuri, P. Jyothi, and S. Sarawagi · 2018
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Generalizing to unseen domains via adversarial data augmentation
R. Volpi, H. Namkoong, O. Sener, J. C. Duchi, V. Murino, and S. Savarese · 2018
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Deep cocktail network: Multi-source unsupervised domain adaptation with category shift
R. Xu, Z. Chen, W. Zuo, J. Yan, and L. Lin · 2018
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Deep layer aggregation
F. Yu, D. Wang, E. Shelhamer, and T. Darrell · 2018
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Multiple source domain adaptation with adversarial learning
H. Zhao, S. Zhang, G. Wu, J. ao P. Costeira, J. M. F. Moura, and G. J. Gordon · 2018
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Multi-component image translation for deep domain generalization
M. M. Rahman, C. Fookes, M. Baktashmotlagh, and S. Sridharan · 2019
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