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Zero-shot learning strives to classify unseen categories for which no data is available during training.
Visualizing data using t-sne
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Automated flower classification over a large number of classes
Maria-Elena Nilsback and Andrew Zisserman · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Caltech-ucsd birds 200
Peter Welinder, Steve Branson, Takeshi Mita, Catherine Wah, Florian Schroff, Serge Belongie, and Pietro Perona · 2010
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HMDB: a large video database for human motion recognition
H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre · 2011
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Sun attribute database: Discovering, annotating, and recognizing scene attributes
Genevieve Patterson and James Hays · 2012
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Ucf101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
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Devise: A deep visual-semantic embedding model
Andrea Frome, Greg S Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc’Aurelio Ranzato, and Tomas Mikolov · 2013
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Attribute-based classification for zero-shot visual object categorization
Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Transfer learning in a transductive setting
Marcus Rohrbach, Sandra Ebert, and Bernt Schiele · 2013
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Generative adversarial nets
Ian Goodfellow, Jean PougetAbadie, Mehdi Mirza, Bing Xu, and David Warde-Farley · 2014
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Zero-shot recognition with unreliable attributes
Dinesh Jayaraman and Kristen Grauman · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Label-embedding for image classification
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, and Cordelia Schmid · 2015
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Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
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Transductive multi-view zero-shot learning
Yanwei Fu, Timothy M Hospedales, Tao Xiang, and Shaogang Gong · 2015
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Objects2action: Classifying and localizing actions without any video example
Mihir Jain, Jan C van Gemert, Thomas Mensink, and Cees GM Snoek · 2015
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Unsupervised domain adaptation for zero-shot learning
Elyor Kodirov, Tao Xiang, Zhenyong Fu, and Shaogang Gong · 2015
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An embarrassingly simple approach to zero-shot learning
Bernardino Romera-Paredes and Philip Torr · 2015
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Generating images with perceptual similarity metrics based on deep networks
Alexey Dosovitskiy and Thomas Brox · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Learning deep representations of fine-grained visual descriptions
Scott Reed, Zeynep Akata, Honglak Lee, and Bernt Schiele · 2016
Transductive unbiased embedding for zero-shot learning
Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, and Mingli Song · 2018
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Zero-shot learning-a comprehensive evaluation of the good, the bad and the ugly
Yongqin Xian, Christoph H Lampert, Bernt Schiele, and Zeynep Akata · 2018
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Feature generating networks for zero-shot learning
Yongqin Xian, Tobias Lorenz, Bernt Schiele, and Zeynep Akata · 2018
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Visual data synthesis via gan for zero-shot video classification
Chenrui Zhang and Yuxin Peng · 2018
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Towards universal representation for unseen action recognition
Yi Zhu, Yang Long, Yu Guan, Shawn Newsam, and Ling Shao · 2018
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Generative dual adversarial network for generalized zero-shot learning
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Towards principled methods for training generative adversarial networks
Martin Arjovsky and Léon Bottou · 2017
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Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Spatial-aware object embeddings for zero-shot localization and classification of actions
Pascal Mettes and Cees GM Snoek · 2017
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A simple exponential family framework for zero-shot learning
Vinay Kumar Verma and Piyush Rai · 2017
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Transductive zero-shot action recognition by word-vector embedding
Xun Xu, Timothy Hospedales, and Shaogang Gong · 2017
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He Huang, Changhu Wang, Philip S Yu, and Chang-Dong Wang · 2019
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Feedback adversarial learning: Spatial feedback for improving generative adversarial networks
Minyoung Huh, Shao-Hua Sun, and Ning Zhang · 2019
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Transferable contrastive network for generalized zero-shot learning
Huajie Jiang, Ruiping Wang, Shiguang Shan, and Xilin Chen · 2019
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Leveraging the invariant side of generative zero-shot learning
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, and Zi Huang · 2019
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Feedback network for image super-resolution
Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, and Wei Wu · 2019
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Out-of-distribution detection for generalized zero-shot action recognition
Devraj Mandal, Sanath Narayan, Sai Kumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, and Ling Shao · 2019
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Semantically aligned bias reducing zero shot learning
Akanksha Paul, Narayanan C Krishnan, and Prateek Munjal · 2019
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Generalized zero-and few-shot learning via aligned variational autoencoders
Edgar Schonfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, and Zeynep Akata · 2019
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Adversarial feedback loop
Firas Shama, Roey Mechrez, Alon Shoshan, and Lihi Zelnik-Manor · 2019
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f-vaegan-d2: A feature generating framework for any-shot learning
Yongqin Xian, Saurabh Sharma, Bernt Schiele, and Zeynep Akata · 2019
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Infovae: Balancing learning and inference in variational autoencoders
Shengjia Zhao, Jiaming Song, and Stefano Ermon · 2019
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