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We exploit field guides to learn bird species recognition, in particular zero-shot recognition of unseen species.
Frustratingly easy domain adaptation
H Daume · 2007
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Bird species recognition using support vector machines
Seppo Fagerlund · 2007
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Zero-data learning of new tasks
Hugo Larochelle, Dumitru Erhan, and Yoshua Bengio · 2008
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Automated flower classification over a large number of classes
Maria-Elena Nilsback and Andrew Zisserman · 2008
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Learning to detect unseen object classes by between-class attribute transfer
Christoph H. Lampert, Hannes Nickisch, and Stefan Harmeling · 2009
Earlier work this paper cites.
eBird: A citizen-based bird observation network in the biological sciences
Brian L Sullivan, Christopher L Wood, Marshall J Iliff, Rick E Bonney, Daniel Fink, and Steve Kelling · 2009
Earlier work this paper cites.
Caltech-UCSD Birds 200
P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, and P. Perona · 2010
Earlier work this paper cites.
Label-embedding for attribute-based classification
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, and Cordelia Schmid · 2013
Earlier work this paper cites.
Next-Generation Field Guides
Elizabeth J. Farnsworth, Miyoko Chu, W. John Kress, Amanda K. Neill, Jason H. Best, John Pickering, Robert D. Stevenson, Gregory W. Courtney, John K. VanDyk, and Aaron M. Ellison · 2013
Earlier work this paper cites.
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
Earlier work this paper cites.
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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Zero-shot learning by convex combination of semantic embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S Corrado, and Jeffrey Dean · 2013
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Zero-shot learning via visual abstraction
Stanislaw Antol, C Lawrence Zitnick, and Devi Parikh · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Label-embedding for image classification
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, and Cordelia Schmid · 2015
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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
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Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
Earlier work this paper cites.
Ridge regression, hubness, and zero-shot learning
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, and Yuji Matsumoto · 2015
Earlier work this paper cites.
Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario March, and Victor Lempitsky · 2016
Earlier work this paper cites.
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
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The sketchy database: learning to retrieve badly drawn bunnies
Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, and James Hays · 2016
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Return of frustratingly easy domain adaptation
Baochen Sun, Jiashi Feng, and Kate Saenko · 2016
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Deep CORAL: Correlation alignment for deep domain adaptation
Baochen Sun and Kate Saenko · 2016
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beta-VAE: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loïc Matthey, Arka Pal, Christopher P. Burgess, Xavier Glorot, Matthew M. Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
Zero-shot learning – a comprehensive evaluation of the good, the bad and the ugly
Yongqin Xian, Christoph H. Lampert, Bernt Schiele, and Zeynep Akata · 2019
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Bridging theory and algorithm for domain adaptation
Yuchen Zhang, Tianle Liu, Mingsheng Long, and Michael Jordan · 2019
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Deep learning on small datasets without pre-training using cosine loss
Bjorn Barz and Joachim Denzler · 2020
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Birds of the world. cornell laboratory of ornithology, 2020
SM Billerman, BK Keeney, PG Rodewald, and TS Schulenberg · 2020
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Minimum class confusion for versatile domain adaptation
Ying Jin, Ximei Wang, Mingsheng Long, and Jianmin Wang · 2020
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Supervised contrastive learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan · 2020
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Unified deep supervised domain adaptation and generalization
Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh, and Gianfranco Doretto · 2017
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Automatic differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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Learning a deep embedding model for zero-shot learning
Li Zhang, Tao Xiang, and Shaogang Gong · 2017
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Understanding disentangling in
Christopher P Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner · 2018
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Cross-domain self-supervised learning for domain adaptation with few source labels
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A Plummer, Stan Sclaroff, and Kate Saenko · 2020
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Latent embedding feedback and discriminative features for zero-shot classification
Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees GM Snoek, and Ling Shao · 2020
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Wavelet filters for automated recognition of birdsong in long-time field recordings
Nirosha Priyadarshani, Stephen Marsland, Julius Juodakis, Isabel Castro, and Virginia Listanti · 2020
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Invertible zero-shot recognition flows
Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, and Ling Shao · 2020
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Leveraging seen and unseen semantic relationships for generative zero-shot learning
Maunil R. Vyas, Hemanth Venkateswara, and Sethuraman Panchanathan · 2020
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Generalizing from a few examples: A survey on few-shot learning
Yaqing Wang, Quanming Yao, James T. Kwok, and Lionel M. Ni · 2020
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Fine-grained zero-shot learning with dna as side information
Sarkhan Badirli, Zeynep Akata, George Mohler, Christine Picard, and Mehmet Dundar · 2021
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Contrastive embedding for generalized zero-shot learning
Zongyan Han, Zhenyong Fu, Shuo Chen, and Jian Yang · 2021
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https://www.inaturalist.org
iNaturalist · 2021
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Benchmarking representation learning for natural world image collections
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, and Oisin Mac Aodha · 2021
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Prototypical cross-domain self-supervised learning for few-shot unsupervised domain adaptation
Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, and Alberto Sangiovanni Vincentelli · 2021
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Counterfactual zero-shot and open-set visual recognition
Zhongqi Yue, Tan Wang, Qianru Sun, Xian-Sheng Hua, and Hanwang Zhang · 2021
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