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Many approaches in generalized zero-shot learning rely on cross-modal mapping between the image feature space and the class embedding space.
A class of wasserstein metrics for probability distributions
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Learning to detect unseen object classes by between-class attribute transfer
C. H. Lampert, H. Nickisch, and S. Harmeling · 2009
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Sufficient dimension reduction via squared-loss mutual information estimation
T. Suzuki and M. Sugiyama · 2010
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Caltech-ucsd birds 200
P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, and P. Perona · 2010
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A kernel two-sample test
A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Schölkopf, and A. Smola · 2012
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Sun attribute database: Discovering, annotating, and recognizing scene attributes
G. Patterson and J. Hays · 2012
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Devise: A deep visual-semantic embedding model
A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, T. Mikolov, et al · 2013
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Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
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Zero-shot learning through cross-modal transfer
R. Socher, M. Ganjoo, C. D. Manning, and A. Ng · 2013
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Transductive multi-view embedding for zero-shot recognition and annotation
Y. Fu, T. M. Hospedales, T. Xiang, Z. Fu, and S. Gong · 2014
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
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Zero-shot learning by convex combination of semantic embeddings
M. Norouzi, T. Mikolov, S. Bengio, Y. Singer, J. Shlens, A. Frome, G. S. Corrado, and J. Dean · 2014
Cited alongside, same era.
Evaluation of output embeddings for fine-grained image classification
Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
Cited alongside, same era.
An embarrassingly simple approach to zero-shot learning
B. Romera-Paredes and P. Torr · 2015
Cited alongside, same era.
Label-embedding for image classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2016
Cited alongside, same era.
Generating sentences from a continuous space
S. R. Bowman, L. Vilnis, O. Vinyals, A. Dai, R. Jozefowicz, and S. Bengio · 2016
Cited alongside, same era.
T. Mukherjee, M. Yamada, and T. M. Hospedales · 2017
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An empirical evaluation of visual question answering for novel objects
S. K. Ramakrishnan, A. Pal, G. Sharma, and A. Mittal · 2017
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Style transfer from non-parallel text by cross-alignment
T. Shen, T. Lei, R. Barzilay, and T. Jaakkola · 2017
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Prototypical networks for few-shot learning
J. Snell, K. Swersky, and R. Zemel · 2017
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Learning robust visual-semantic embeddings
Y.-H. H. Tsai, L.-K. Huang, and R. Salakhutdinov · 2017
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Synthesized classifiers for zero-shot learning
S. Changpinyo, W.-L. Chao, B. Gong, and F. Sha · 2016
Cited alongside, same era.
beta-vae: Learning basic visual concepts with a constrained variational framework
I. Higgins, L. Matthey, A. Pal, C. Burgess, X. Glorot, M. Botvinick, S. Mohamed, and A. Lerchner · 2016
Cited alongside, same era.
Learning deep representations of fine-grained visual descriptions
S. Reed, Z. Akata, H. Lee, and B. Schiele · 2016
Cited alongside, same era.
Latent embeddings for zero-shot classification
Y. Xian, Z. Akata, G. Sharma, Q. Nguyen, M. Hein, and B. Schiele · 2016
Cited alongside, same era.
Low-shot visual recognition by shrinking and hallucinating features
B. Hariharan and R. B. Girshick · 2017
Cited alongside, same era.
Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
Cited alongside, same era.
Y.-H. H. Tsai and R. Salakhutdinov · 2017
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Adversarial discriminative domain adaptation
E. Tzeng, J. Hoffman, K. Saenko, and T. Darrell · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Generalized zero-shot learning via synthesized examples
V. Kumar Verma, G. Arora, A. Mishra, and P. Rai · 2018
Closest in time.
A generative model for zero shot learning using conditional variational autoencoders
A. Mishra, S. Krishna Reddy, A. Mittal, and H. A. Murthy · 2018
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Zero-shot learning-a comprehensive evaluation of the good, the bad and the ugly
Y. Xian, C. H. Lampert, B. Schiele, and Z. Akata · 2018
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Feature generating networks for zero-shot learning
Y. Xian, T. Lorenz, B. Schiele, and Z. Akata · 2018
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