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Zero-shot recognition (ZSR) aims to recognize target-domain data instances of unseen classes based on the models learned from associated pairs of seen-class source and target domain data.
Convex analysis and optimization
D. P. Bertsekas, A. E. Ozdaglar, and A. Nedić · 2003
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Describing objects by their attributes
A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth · 2009
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Cutting-plane training of structural svms
T. Joachims, T. Finley, and C.-N. J. Yu · 2009
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Learning Multiple Layers of Features from Tiny Images
A. Krizhevsky · 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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Zero-shot learning with semantic output codes
M. Palatucci, D. Pomerleau, G. E. Hinton, and T. M. Mitchell · 2009
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Learning structural svms with latent variables
C.-N. J. Yu and T. Joachims · 2009
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Automatic attribute discovery and characterization from noisy web data
T. L. Berg, A. C. Berg, and J. Shih · 2010
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Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Attribute-based transfer learning for object categorization with zero/one training example
X. Yu and Y. Aloimonos · 2010
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A joint learning framework for attribute models and object descriptions
D. Mahajan, S. Sellamanickam, and V. Nair · 2011
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Interactively building a discriminative vocabulary of nameable 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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The Caltech-UCSD Birds-200-2011 Dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
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Efficient max-margin multi-label classification with applications to zero-shot learning
B. Hariharan, S. Vishwanathan, and M. Varma · 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, M. A. Ranzato, and T. Mikolov · 2013
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Transfer learning in a transductive setting
M. Rohrbach, S. Ebert, and B. Schiele · 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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A unified probabilistic approach modeling relationships between attributes and objects
X. Wang and Q. Ji · 2013
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Designing category-level attributes for discriminative visual recognition
F. X. Yu, L. Cao, R. S. Feris, J. R. Smith, and S. F. Chang · 2013
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Zero-shot learning via visual abstraction
S. Antol, C. L. Zitnick, and D. Parikh · 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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Zero-shot recognition with unreliable attributes
D. Jayaraman and K. Grauman · 2014
Cited alongside, same era.
Attribute-based classification for zero-shot visual object categorization
C. H. Lampert, H. Nickisch, and S. Harmeling · 2014
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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Exploring semantic inter-class relationships (sir) for zero-shot action recognition
C. Gan, M. Lin, Y. Yang, Y. Zhuang, and A. G. Hauptmann · 2015
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Unsupervised domain adaptation for zero-shot learning
E. Kodirov, T. Xiang, Z. Fu, and S. Gong · 2015
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Max-margin zero-shot learning for multi-class classification
X. Li and Y. Guo · 2015
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Semi-supervised zero-shot classification with label representation learning
X. Li, Y. Guo, and D. Schuurmans · 2015
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Costa: Co-occurrence statistics for zero-shot classification
T. Mensink, E. Gavves, and C. G. M. Snoek · 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.
The sun attribute database: Beyond categories for deeper scene understanding
G. Patterson, C. Xu, H. Su, and J. Hays · 2014
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Marginal structured svm with hidden variables
W. Ping, Q. Liu, and A. Ihler · 2014
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge, 2014
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
An embarrassingly simple approach to zero-shot learning
B. Romera-Paredes and P. H. S. Torr · 2015
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Zero-shot learning via semantic similarity embedding
Z. Zhang and V. Saligrama · 2015
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Recovering the missing link: Predicting class-attribute associations for unsupervised zero-shot learning
Z. Al-Halah, M. Tapaswi, and R. Stiefelhagen · 2016
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Improving semantic embedding consistency by metric learning for zero-shot classification
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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Transductive zero-shot recognition via shared model space learning
Y. Guo, G. Ding, X. Jin, and J. Wang · 2016
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Less is more: Zero-shot learning from online textual documents with noise suppression
R. Qiao, L. Liu, C. Shen, and A. van den Hengel · 2016
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Relational knowledge transfer for zero-shot learning
D. Wang, Y. Li, Y. Lin, and Y. Zhuang · 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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Fast zero-shot image tagging
Y. Zhang, B. Gong, and M. Shah · 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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