Discriminative deep metric learning for face verification in the wild

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 1875-1882

  Hu, Junlin ^a   Lu, Jiwen ^b   Tan, Yap Peng ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b ADVANCED DIGITAL SCIENCES CENTER   (Singapore)

Author keywords

Deep Learning; Face Verification; Metric Learning

Indexed keywords

DEEP NEURAL NETWORKS; FACE RECOGNITION; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS;

FACE VERIFICATION; FEATURE SUBSPACE; INTER CLASS; INTRA-CLASS VARIATION; MAHALANOBIS DISTANCES; METRIC LEARNING; NON-LINEAR TRANSFORMATIONS; YOUTUBE;

DEEP LEARNING;

EID: 84911459575     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.242     Document Type: Conference Paper

References (41)

1. T. Ahonen, S. Member, A. Hadid, M. Pietikanen, and S. Member. Face description with local binary patterns: Application to face recognition. PAMI, 28:2037-2041, 2006.
2. Y. Bengio. Learning deep architectures for ai. Foundations and trends® in Machine Learning, 2(1):1-127, 2009.
3. X. Cai, C. Wang, B. Xiao, X. Chen, and J. Zhou. Deep nonlinear metric learning with independent subspace analysis for face verification. In ACM MM, pages 749-752, 2012.
4. Z. Cao, Q. Yin, X. Tang, and J. Sun. Face recognition with learning-based descriptor. In CVPR, page 27072714, 2010.
5. H. Cevikalp and B. Triggs. Face recognition based on image sets. In CVPR, pages 2567-2573, 2010.
6. Z. Cui, W. Li, D. Xu, S. Shan, and X. Chen. Fusing robust face region descriptors via multiple metric learning for face recognition in the wild. In CVPR, pages 3554-3561, 2013.
7. J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon. Information-theoretic metric learning. In ICML, pages 209-216, 2007.
8. X. Glorot and Y Bengio. Understanding the difficulty of training deep feedforward neural networks. In AISTATS, pages 249-256, 2010.
9. M. Guillaumin, J. Verbeek, and C. Schmid. Is that you? metric learning approaches for face identification. In ICCV, pages 498-505, 2009.
10. G. E. Hinton, S. Osindero, and Y.-W. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18(7):1527-1554, 2006.
11. G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, 2006.
12. Y Hu, A. S. Mian, and R. A. Owens. Sparse approximated nearest points for image set classification. In CVPR, pages 121-128, 2011.
13. G. B. Huang, H. Lee, and E. G. Learned-Miller. Learning hierarchical representations for face verification with convolutional deep belief networks. In CVPR, pages 2518-2525, 2012.
14. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in uncon-strained environments. Technical Report 07-49, University of Massachusetts, Amherst, 2007.
15. S. Ji, W. Xu, M. Yang, and K. Yu. 3d convolutional neural networks for human action recognition. PAMI, 35(1):221-231, 2013.
16. M. Kan, D. Xu, S. Shan, W. Li, and X. Chen. Learning prototype hyperplanes for face verification in the wild. TIP, 22(8):3310-3316, 2013.
17. T.-K. Kim, J. Kittler, and R. Cipolla. Discriminative learning and recognition of image set classes using canonical correlations. PAMI, 29(6):1005-1018, 2007.
18. Q. V. Le, W. Y. Zou, S. Y. Yeung, and A. Y. Ng. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. In CVPR, pages 3361-3368, 2011.
19. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
20. H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, pages 609-616, 2009.
21. H. Li, G. Hua, Z. Lin, J. Brandt, and J. Yang. Probabilistic elastic matching for pose variant face verification. In CVPR, pages 3499-3506, 2013.
22. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
23. J. Lu, Y.-P. Tan, and G. Wang. Discriminative multimanifold analysis for face recognition from a single training sample per person. IEEE Trans. Pattern Anal. Mach. Intell., 35(1):39-51, 2013.
24. H. Mendez-Vazquez, Y. Martinez-Diaz, and Z. Chai. Volume structured ordinal features with background similarity measure for video face recognition. In ICB, pages 1-6, 2013.
25. A. Mignon and F. Jurie. Pcca: A new approach for distance learning from sparse pairwise constraints. In CVPR, pages 2666-2672, 2012.
26. H. V. Nguyen and L. Bai. Cosine similarity metric learning for face verification. In ACCV, pages 709-720, 2010.
27. M. Ranzato, F. J. Huang, Y.-L. Boureau, and Y. Lecun. Unsupervised learning of invariant feature hierarchies with applications to object recognition. In CVPR, pages 1-8, 2007.
28. K. Simonyan, O. M. Parkhi, A. Vedaldi, and A. Zisserman. Fisher vector faces in the wild. In BMVC, 2013.
29. M. K. stinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof. Large scale metric learning from equivalence constraints. In CVPR, pages 2288-2295, 2012.
30. G. W. Taylor, R. Fergus, Y. LeCun, and C. Bregler. Convolutional learning of spatio-temporal features. In ECCV, pages 140-153. 2010.
31. I. W. Tsang, J. T. Kwok, C. Bay, and H. Kong. Distance metric learning with kernels. In ICANN, pages 126-129, 2003.
32. P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol. Extracting and composing robust features with denoising autoencoders. In ICML, pages 1096-1103, 2008.
33. R. Wang, S. Shan, X. Chen, and W. Gao. Manifold-manifold distance with application to face recognition based on image set. In CVPR, pages 1-8, 2008.
34. L. Wolf, T. Hassner, and I. Maoz. Face recognition in unconstrained videos with matched background similarity. In CVPR, pages 529-534, 2011.
35. L. Wolf, T. Hassner, and Y. Taigman. Descriptor based methods in the wild. In ECCVW, 2008.
36. L. Wolf, T. Hassner, and Y. Taigman. Similarity scores based on background samples. In ACCV, pages 88-97, 2009.
37. L. Wolf and N. Levy. The svm-minus similarity score for video face recognition. In CVPR, pages 3523-3530, 2013.
38. D.-Y. Yeung and H. Chang. A kernel approach for semisupervised metric learning. TNN, 18(1):141-149, 2007.
39. D. Yi, Z. Lei, and S. Z. Li. Towards pose robust face recognition. In CVPR, pages 3539-3545, 2013.
40. Y. Ying and P. Li. Distance metric learning with eigenvalue optimization. JMLR, 13:1-26, 2012.
41. W.-Y. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Computer Surveys, 35(4):399-458, 2003.