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Zero-shot learning (ZSL) models rely on learning a joint embedding space where both textual/semantic description of object classes and visual representation of object images can be projected to for nearest neighbour search.
Long short-term memory
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Bidirectional recurrent neural networks
M. Schuster and K. K. Paliwal · 1997
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Learning visual attributes
V. Ferrari and A. Zisserman · 2007
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Visualizing data using t-SNE
L. v. d. Maaten and G. Hinton · 2008
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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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Describing objects by their attributes
A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth · 2009
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Hubs in space: Popular nearest neighbors in high-dimensional data
M. Radovanović, A. Nanopoulos, and M. Ivanović · 2010
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Relative attributes
D. Parikh and K. Grauman · 2011
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Evaluating knowledge transfer and zero-shot learning in a large-scale setting
M. Rohrbach, M. Stark, and B. Schiele · 2011
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Multiclass recognition and part localization with humans in the loop
C. Wah, S. Branson, P. Perona, and S. Belongie · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Efficient backprop
Y. A. LeCun, L. Bottou, G. B. Orr, and K.-R. Müller · 2012
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Metric learning for large scale image classification: Generalizing to new classes at near-zero cost
T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka · 2012
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Label-embedding for attribute-based classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2013
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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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Hybrid speech recognition with deep bidirectional lstm
A. Graves, N. Jaitly, and A.-r. Mohamed · 2013
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Speech recognition with deep recurrent neural networks
A. Graves, A. Mohamed, and G. Hinton · 2013
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Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 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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Transfer learning in a transductive setting
M. Rohrbach, S. Ebert, and B. Schiele · 2013
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Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 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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Improving zero-shot learning by mitigating the hubness problem
G. Dinu, A. Lazaridou, and M. Baroni · 2014
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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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Attribute-based classification for zero-shot visual object categorization
A unified perspective on multi-domain and multi-task learning
Y. Yang and T. M. Hospedales · 2015
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Zero-shot learning via semantic similarity embedding
Z. Zhang and V. Saligrama · 2015
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Label-embedding for image classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2016
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Improving semantic embedding consistency by metric learning for zero-shot classiffication
M. Bucher, S. Herbin, and F. Jurie · 2016
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Synthesized classifiers for zero-shot learning
S. Changpinyo, W.-L. Chao, B. Gong, and F. Sha · 2016
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An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
W.-L. Chao, S. Changpinyo, B. Gong, and F. Sha · 2016
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C. H. Lampert, H. Nickisch, and S. Harmeling · 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
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Evaluation of output embeddings for fine-grained image classification
Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele · 2015
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Transductive multi-view zero-shot learning
Y. Fu, T. M. Hospedales, T. Xiang, and S. Gong · 2015
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Zero-shot object recognition by semantic manifold distance
Z. Fu, T. Xiang, E. Kodirov, and S. Gong · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Semi-supervised vocabulary-informed learning
Y. Fu and L. Sigal · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Local similarity-aware deep feature embedding
C. Huang, C. C. Loy, and X. Tang · 2016
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Gaussian visual-linguistic embedding for zero-shot recognition
T. Mukherjee and T. Hospedales · 2016
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Learning deep representations of fine-grained visual descriptions
S. Reed, Z. Akata, B. Schiele, and H. Lee · 2016
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Latent embeddings for zero-shot classification
Y. Xian, Z. Akata, G. Sharma, Q. Nguyen, M. Hein, and B. Schiele · 2016
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Zero-shot learning via joint latent similarity embedding
Z. Zhang and V. Saligrama · 2016
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Zero-shot recognition via structured prediction
Z. Zhang and V. Saligrama · 2016
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Semantic autoencoder for zero-shot learning
E. Kodirov, T. Xiang, and S. Gong · 2017
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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 · 2017
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Actor-critic sequence training for image captioning
L. Zhang, F. Sung, F. Liu, T. Xiang, S. Gong, Y. Yang, and T. M. Hospedales · 2017
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Learning to compare: Relation network for few-shot learning
F. Sung, Y. Yang, L. Zhang, T. Xiang, P. H. Torr, and T. M. Hospedales · 2018
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