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Current Zero-Shot Learning (ZSL) approaches are restricted to recognition of a single dominant unseen object category in a test image.
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Zero-shot learning with semantic output codes
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Zero-shot learning through cross-modal transfer
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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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Large-scale object classification using label relation graphs
J. Deng, N. Ding, Y. Jia, A. Frome, K. Murphy, S. Bengio, Y. Li, H. Neven, and H. Adam · 2014
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Zero-shot recognition with unreliable attributes
D. Jayaraman and K. Grauman · 2014
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Attribute-based classification for zero-shot visual object categorization
C. H. Lampert, H. Nickisch, and S. Harmeling · 2014
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Attributes make sense on segmented objects
Z. Li, E. Gavves, T. Mensink, and C. G. Snoek · 2014
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T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Zeroshot 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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Glove: Global vectors for word representation
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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-label zero-shot learning
Y. Fu, Y. Yang, T. Hospedales, T. Xiang, and S. Gong · 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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Predicting deep zero-shot convolutional neural networks using textual descriptions
J. Lei Ba, K. Swersky, S. Fidler, et al · 2015
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Zero-shot image tagging by hierarchical semantic embedding
X. Li, S. Liao, W. Lan, X. Du, and G. Yang · 2015
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An embarrassingly simple approach to zero-shot learning
Improving semantic embedding consistency by metric learning for zero-shot classification
S. H. Maxime Bucher and F. Jurie · 2016
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Yolo9000: Better, faster, stronger
J. Redmon and A. Farhadi · 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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Attributes2classname: A discriminative model for attribute-based unsupervised zero-shot learning
B. Demirel, R. Gokberk Cinbis, and N. Ikizler-Cinbis · 2017
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Zero shot learning via multi-scale manifold regularization
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B. Romera-Paredes and P. Torr · 2015
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ImageNet Large Scale Visual Recognition Challenge
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 · 2015
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Ridge regression, hubness, and zero-shot learning
Y. Shigeto, I. Suzuki, K. Hara, M. Shimbo, and Y. Matsumoto · 2015
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Zero-shot learning via semantic similarity embedding
Z. Zhang and V. Saligrama · 2015
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Multi-cue zero-shot learning with strong supervision
Z. Akata, M. Malinowski, M. Fritz, and B. Schiele · 2016
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Label-Embedding for Image Classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2016
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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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S. Deutsch, S. Kolouri, K. Kim, Y. Owechko, and S. Soatto · 2017
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Zero-shot learning on semantic class prototype graph
Z. Fu, T. Xiang, E. Kodirov, and S. Gong · 2017
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Semantic autoencoder for zero-shot learning
E. Kodirov, T. Xiang, and S. Gong · 2017
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Zero-shot recognition using dual visual-semantic mapping paths
Y. Li, D. Wang, H. Hu, Y. Lin, and Y. Zhuang · 2017
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Tracking by natural language specification
Z. Li, R. Tao, E. Gavves, C. Snoek, and A. Smeulders · 2017
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Semantically consistent regularization for zero-shot recognition
P. Morgado and N. Vasconcelos · 2017
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A unified approach for conventional zero-shot, generalized zero-shot and few-shot learning
S. Rahman, S. H. Khan, and F. Porikli · 2017
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2017
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Zero-shot learning - the good, the bad and the ugly
Y. Xian, B. Schiele, and Z. Akata · 2017
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Matrix tri-factorization with manifold regularizations for zero-shot learning
X. Xu, F. Shen, Y. Yang, D. Zhang, H. T. Shen, and J. Song · 2017
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Zero-shot classification with discriminative semantic representation learning
M. Ye and Y. Guo · 2017
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Learning a deep embedding model for zero-shot learning
L. Zhang, T. Xiang, and S. Gong · 2017
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