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We study the problem of recognizing visual entities from the textual descriptions of their classes.
Lxmert: Learning cross-modality encoder representations from transformers
Hao Tan and Mohit Bansal. 2019 · 1908
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Term-weighting approaches in automatic text retrieval
Gerard Salton and Christopher Buckley. 1988 · 1988
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A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al. 1996 · 1996
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Describing objects by their attributes
Ali Farhadi, Ian Endres, Derek Hoiem, and David Forsyth. 2009 · 2009
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Learning to detect unseen object classes by between-class attribute transfer
Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling. 2009 · 2009
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio. 2010 · 2010
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The Caltech-UCSD Birds-200-2011 Dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie. 2011 · 2011
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Write a classifier: Zero-shot learning using purely textual descriptions
Mohamed Elhoseiny, Babak Saleh, and Ahmed Elgammal. 2013 · 2013
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Evaluation of output embeddings for fine-grained image classification
Zeynep Akata, Scott Reed, Daniel Walter, Honglak Lee, and Bernt Schiele. 2015 · 2015
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Fast r-cnn
Ross Girshick. 2015 · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Predicting deep zero-shot convolutional neural networks using textual descriptions
Jimmy Lei Ba, Kevin Swersky, Sanja Fidler, et al. 2015 · 2015
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Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
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An embarrassingly simple approach to zero-shot learning
Bernardino Romera-Paredes and Philip Torr. 2015 · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015 · 2015
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Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis, Pietro Perona, and Serge Belongie. 2015 · 2015
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Multi-cue zero-shot learning with strong supervision
Zeynep Akata, Mateusz Malinowski, Mario Fritz, and Bernt Schiele. 2016 · 2016
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Synthesized classifiers for zero-shot learning
Link the head to the” beak”: Zero shot learning from noisy text description at part precision
Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, and Ahmed Elgammal. 2017 · 2017
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hdbscan: Hierarchical density based clustering
Leland McInnes, John Healy, and Steve Astels. 2017 · 2017
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Probabilistic and-or attribute grouping for zero-shot learning
Yuval Atzmon and Gal Chechik. 2018 · 2018
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Multi-modal cycle-consistent generalized zero-shot learning
Rafael Felix, Vijay B. G. Kumar, Ian Reid, and Gustavo Carneiro. 2018 · 2018
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Feature generating networks for zero-shot learning
Yongqin Xian, Tobias Lorenz, Bernt Schiele, and Zeynep Akata. 2018 · 2018
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
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Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, and Fei Sha. 2016 · 2016
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An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, and Fei Sha. 2016 · 2016
Cited alongside, same era.
Write a classifier: Predicting visual classifiers from unstructured text
Mohamed Elhoseiny, Ahmed Elgammal, and Babak Saleh. 2016 · 2016
Cited alongside, same era.
Less is more: zero-shot learning from online textual documents with noise suppression
Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, and Anton Van Den Hengel. 2016 · 2016
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Learning deep representations of fine-grained visual descriptions
Scott Reed, Zeynep Akata, Honglak Lee, and Bernt Schiele. 2016 · 2016
Cited alongside, same era.
Detecting visually relevant sentences for fine-grained classification
Olivia Winn, Madhavan Kavanur Kidambi, and Smaranda Muresan. 2016 · 2016
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Spda-cnn: Unifying semantic part detection and abstraction for fine-grained recognition
Han Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed Elgammal, and Dimitris Metaxas. 2016 · 2016
Cited alongside, same era.
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He. 2018 · 2018
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A generative adversarial approach for zero-shot learning from noisy texts
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, and Ahmed Elgammal. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Gradient matching generative networks for zero-shot learning
Mert Bulent Sariyildiz and Ramazan Gokberk Cinbis. 2019 · 2019
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Classifier and exemplar synthesis for zero-shot learning
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, and Fei Sha. 2020 · 2020
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