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Deep embeddings answer one simple question: How similar are two images? Learning these embeddings is the bedrock of verification, zero-shot learning, and visual search.
Signature verification using a ”siamese” time delay neural network
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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
R. Hadsell, S. Chopra, and Y. LeCun · 2006
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
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Query-level learning to rank using isotonic regression
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Imagenet: A large-scale hierarchical image database
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CoFiRank: Collaborative filtering for ranking
M. Weimer, A. Karatzoglou, and A. Smola · 2009
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Distance metric learning for large margin nearest neighbor classification
K. Q. Weinberger and L. K. Saul · 2009
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IntervalRank: Isotonic regression with listwise and pairwise constraints
T. Moon, A. Smola, Y. Chang, and Z. Zheng · 2010
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Caltech-UCSD Birds 200
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3d object representations for fine-grained categorization
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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Deep learning face representation by joint identification-verification
Y. Sun, Y. Chen, X. Wang, and X. Tang · 2014
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Deepface: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
Stochastic optimization with importance sampling for regularized loss minimization
P. Zhao and T. Zhang · 2015
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Openface: A general-purpose face recognition library with mobile applications
B. Amos, B. Ludwiczuk, and M. Satyanarayanan · 2016
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Improving semantic embedding consistency by metric learning for zero-shot classiffication
M. Bucher, S. Herbin, and F. Jurie · 2016
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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Local similarity-aware deep feature embedding
C. Huang, C. C. Loy, and X. Tang · 2016
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Learning face representation from scratch
D. Yi, Z. Lei, S. Liao, and S. Z. Li · 2014
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Learning visual similarity for product design with convolutional neural networks
S. Bell and K. Bala · 2015
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Where to buy it: Matching street clothing photos in online shops
M. Hadi Kiapour, X. Han, S. Lazebnik, A. C. Berg, and T. L. Berg · 2015
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Beyond convexity: Stochastic quasi-convex optimization
E. Hazan, K. Levy, and S. Shalev-Shwartz · 2015
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Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
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Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
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K. Y. Levy · 2016
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Deep metric learning via lifted structured feature embedding
H. Oh Song, Y. Xiang, S. Jegelka, and S. Savarese · 2016
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Improved deep metric learning with multi-class n-pair loss objective
K. Sohn · 2016
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Learnable structured clustering framework for deep metric learning
H. O. Song, S. Jegelka, V. Rathod, and K. Murphy · 2016
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Learning a metric embedding for face recognition using the multibatch method
O. Tadmor, T. Rosenwein, S. Shalev-Shwartz, Y. Wexler, and A. Shashua · 2016
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Learning deep embeddings with histogram loss
E. Ustinova and V. Lempitsky · 2016
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Hard-aware deeply cascaded embedding
Y. Yuan, K. Yang, and C. Zhang · 2016
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Joint face detection and alignment using multitask cascaded convolutional networks
K. Zhang, Z. Zhang, Z. Li, and Y. Qiao · 2016
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Fast training of triplet-based deep binary embedding networks
B. Zhuang, G. Lin, C. Shen, and I. Reid · 2016
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http://faculty.madisoncollege.edu/alehnen/sphere/hypers.htm
The sphere game in n dimensions · 2017
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