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Predicting face attributes in the wild is challenging due to complex face variations.
Handwritten digit recognition with a back-propagation network
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel · 1990
Earlier work this paper cites.
Dimensionality reduction by learning an invariant mapping
R. Hadsell, S. Chopra, and Y. LeCun · 2006
Earlier work this paper cites.
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
Earlier work this paper cites.
Liblinear: A library for large linear classification
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin · 2008
Earlier work this paper cites.
Facetracer: A search engine for large collections of images with faces
N. Kumar, P. Belhumeur, and S. Nayar · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Describing objects by their attributes
A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth · 2009
Earlier work this paper cites.
Attribute and simile classifiers for face verification
N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar · 2009
Earlier work this paper cites.
Sun database: Large-scale scene recognition from abbey to zoo
J. Xiao, J. Hays, K. A. Ehinger, A. Oliva, and A. Torralba · 2010
Earlier work this paper cites.
Describing people: A poselet-based approach to attribute classification
L. Bourdev, S. Maji, and J. Malik · 2011
Earlier work this paper cites.
Two faces are better than one: Face recognition in group photographs
O. K. Manyam, N. Kumar, P. Belhumeur, and D. Kriegman · 2011
Earlier work this paper cites.
Deep attribute networks
J. Chung, D. Lee, Y. Seo, and C. D. Yoo · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation
T. Berg and P. N. Belhumeur · 2013
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Decaf: A deep convolutional activation feature for generic visual recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2013
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Learning surf cascade for fast and accurate object detection
J. Li and Y. Zhang · 2013
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A deep sum-product architecture for robust facial attributes analysis
Clustering by fast search and find of density peaks
A. Rodriguez and A. Laio · 2014
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Exploiting relationship between attributes for improved face verification
F. Song, X. Tan, and S. Chen · 2014
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Deep learning face representation by joint identification-verification
Y. Sun, 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
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Aggregate channel features for multi-view face detection
B. Yang, J. Yan, Z. Lei, and S. Z. Li · 2014
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Part-based r-cnns for fine-grained category detection
N. Zhang, J. Donahue, R. Girshick, and T. Darrell · 2014
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P. Luo, X. Wang, and X. Tang · 2013
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Deep convolutional network cascade for facial point detection
Y. Sun, X. Wang, and X. Tang · 2013
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Self-taught object localization with deep networks
A. Bergamo, L. Bazzani, D. Anguelov, and L. Torresani · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
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Face detection without bells and whistles
M. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool · 2014
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Cnn features off-the-shelf: an astounding baseline for recognition
A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson · 2014
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http://www.faceplusplus.com/
Face++
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Panda: Pose aligned networks for deep attribute modeling
N. Zhang, M. Paluri, M. Ranzato, T. Darrell, and L. Bourdev · 2014
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Edge boxes: Locating object proposals from edges
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Object detectors emerge in deep scene cnns
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