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It is unknown what kind of biases modern in the wild face datasets have because of their lack of annotation.
The feret database and evaluation procedure for face-recognition algorithms
P. J. Phillips, H. Wechsler, J. Huang, and P. J. Rauss · 1998
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V. Blanz and T. Vetter · 1999
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From few to many: Illumination cone models for face recognition under variable lighting and pose
A. S. Georghiades, P. N. Belhumeur, and D. J. Kriegman · 2001
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An efficient representation for irradiance environment maps
R. Ramamoorthi and P. Hanrahan · 2001
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Lambertian reflectance and linear subspaces
R. Basri and D. W. Jacobs · 2003
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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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Multi-PIE
R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker · 2010
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Transforming auto-encoders
G. E. Hinton, A. Krizhevsky, and S. D. Wang · 2011
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A naturalistic open source movie for optical flow evaluation
D. J. Butler, J. Wulff, G. B. Stanley, and M. J. Black · 2012
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Return of the devil in the details: Delving deep into convolutional nets
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
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Describing textures in the wild
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, , and A. Vedaldi · 2014
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Deep symmetry networks
R. Gens and P. M. Domingos · 2014
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Learning rich features from rgb-d images for object detection and segmentation
S. Gupta, R. Girshick, P. Arbeláez, and J. Malik · 2014
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 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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Deepdriving: Learning affordance for direct perception in autonomous driving
C. Chen, A. Seff, A. Kornhauser, and J. Xiao · 2015
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An empirical evaluation of current convolutional architectures’ ability to manage nuisance location and scale variability
N. Karianakis, J. Dong, and S. Soatto · 2016
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The megaface benchmark: 1 million faces for recognition at scale
I. Kemelmacher-Shlizerman, S. M. Seitz, D. Miller, and E. Brossard · 2016
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A comprehensive analysis of deep learning based representation for face recognition
M. Mehdipour Ghazi and H. Kemal Ekenel · 2016
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An analysis of the robustness of deep face recognition networks to noisy training labels
C. Reale, N. M. Nasrabadi, and R. Chellappa · 2016
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Symmetry regularization
F. Anselmi, G. Evangelopoulos, L. Rosasco, and T. Poggio · 2017
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Articulated pose estimation with tiny synthetic videos
D. Park and D. Ramanan · 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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A light cnn for deep face representation with noisy labels
X. Wu, R. He, Z. Sun, and T. Tan · 2015
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Group equivariant convolutional networks
T. Cohen and M. Welling · 2016
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Virtual worlds as proxy for multi-object tracking analysis
A. Gaidon, Q. Wang, Y. Cabon, and E. Vig · 2016
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T. Gerig, A. Forster, C. Blumer, B. Egger, M. Luethi, S. Schoenborn, and T. Vetter · 2017
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Dynamic routing between capsules
S. Sabour, N. Frosst, and G. E. Hinton · 2017
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Scalismo Faces
A. F. B. E. Sandro Schoenborn, Andreas Schneider · 2017
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Opening the black box of deep neural networks via information
R. Shwartz-Ziv and N. Tishby · 2017
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Unrealcv: Virtual worlds for computer vision
Y. Z. S. Q. Z. X. T. S. K. Y. W. A. Y. Weichao Qiu, Fangwei Zhong · 2017
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Occlusion-aware 3d morphable models and an illumination prior for face image analysis
B. Egger, S. Schoenborn, A. Schneider, A. Kortylewski, A. Morel-Forster, C. Blumer, and T. Vetter · 2018
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