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Mining informative negative instances are of central importance to deep metric learning (DML), however this task is intrinsically limited by mini-batch training, where only a mini-batch of instances is accessible at each iteration.
Learning a similarity metric discriminatively, with application to face verification
S. Chopra, R. Hadsell, and Y. LeCun · 2005
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Dimensionality reduction by learning an invariant mapping
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Adam: A method for stochastic optimization
Diederick P Kingma and Jimmy Ba · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
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Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
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Paul Wohlhart and Vincent Lepetit · 2015
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Maxime Bucher, Stéphane Herbin, and Frédéric Jurie · 2016
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Laura Leal-Taixé, Cristian Canton-Ferrer, and Konrad Schindler · 2016
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Hongye Liu, Yonghong Tian, Yaowei Wang, Lu Pang, and Tiejun Huang · 2016
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Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
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Hyun Oh Song, Yu Xiang, Stefanie Jegelka, and Silvio Savarese · 2016
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Improved deep metric learning with multi-class n-pair loss objective
Kihyuk Sohn · 2016
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Siamese instance search for tracking
Ran Tao, Efstratios Gavves, and Arnold WM Smeulders · 2016
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Evgeniya Ustinova and Victor Lempitsky · 2016
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Matching networks for one shot learning
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Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao · 2016
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Ziming Zhang and Venkatesh Saligrama · 2016
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Yan Em, Feng Gag, Yihang Lou, Shiqi Wang, Tiejun Huang, and Ling-Yu Duan · 2017
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Smart mining for deep metric learning
Ben Harwood, Vijay Kumar B G, Gustavo Carneiro, Ian Reid, and Tom Drummond · 2017
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Sasi Kiran Yelamarthi, Shiva Krishna Reddy, Ashish Mishra, and Anurag Mittal · 2018
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Deep metric learning with bier: Boosting independent embeddings robustly
Michael Opitz, Georg Waltner, Horst Possegger, and Horst Bischof · 2018
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Improving generalization via scalable neighborhood component analysis
Zhirong Wu, Alexei A Efros, and Stella Yu · 2018
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Unsupervised feature learning via non-parametric instance discrimination
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin · 2018
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Hard-aware point-to-set deep metric for person re-identification
Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, and Xiang Bai · 2018
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Deep metric learning to rank
Fatih Cakir, Kun He, Xide Xia, Brian Kulis, and Stan Sclaroff · 2019
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Alexander Hermans*, Lucas Beyer*, and Bastian Leibe · 2017
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Bier - boosting independent embeddings robustly
Michael Opitz, Georg Waltner, Horst Possegger, and Horst Bischof · 2017
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Deep metric learning via facility location
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, and Kevin Murphy · 2017
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Sampling matters in deep embedding learning
Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, and Philipp Krähenbühl · 2017
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Joint detection and identification feature learning for person search
Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, and Xiaogang Wang · 2017
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Hard-aware deeply cascaded embedding
Yuhui Yuan, Kuiyuan Yang, and Chao Zhang · 2017
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