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We tackle the problem of discovering novel classes in an image collection given labelled examples of other classes.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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Dorin Comaniciu and Peter Meer · 1979
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Charu C. Aggarwal and Chandan K. Reddy · 2013
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Fast, accurate detection of 100,000 object classes on a single machine
Thomas Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, and Jay Yagnik · 2013
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On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl, and Geoffrey Hinton · 2013
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Rasmus, Mathias M. Berglund, Mikko Honkala, Harri Valpola, and Tapani Raiko · 2015
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Karen Simonyan and Andrew Zisserman · 2015
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deep image category discovery using a transferred similarity function
Yen-Chang Hsu, Zhaoyang Lv, and Zsolt Kira · 2016
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Incremental learning of object detectors without catastrophic forgetting
Konstantin Shmelkov, Cordelia Schmid, and Karteek Alahari · 2017
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen and Harri Valpola · 2017
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Towards k-means-friendly spaces: Simultaneous deep learning and clustering
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, and Mingyi Hong · 2017
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Memory aware synapses: Learning what (not) to forget
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, and Tinne Tuytelaars · 2018
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Recent advances in zero-shot recognition: Toward data-efficient understanding of visual content
Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, and Shaogang Gong · 2018
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Realistic evaluation of deep semi-supervised learning algorithms
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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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Kai Han, Andrea Vedaldi, and Andrew Zisserman · 2019
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Multi-class classification without multi-class labels
Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, and Zsolt Kira · 2019
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Alexander Kolesnikov, Xiaohua Zhai, and Lucas Beyer · 2019
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Semi-supervised learning with scarce annotations
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