Deep face Hashing based on ternary-group loss function

ZHENG Dagang; LIU Guangjie; MAO Yaobin; XU Andong; XIANG Wenbo

doi:10.11805/tkyda2018108

[1] GIONIS A,INDYK P,MOTWANI R. Similarity search in high dimensions via Hashing[C]// 25th International Conference on Very Large Data Bases. Edinburgh,Scotland:Morgan Kaufmann Publishers Inc., 1999:518-529.

[2] GONG Y,LAZEBNIK S,GORDO A,et al. Iterative quantization:a procrustean approach to learning binary codes for large-scale image retrieval[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2013,35(12):2916-2929.

[3] WEISS Y,TORRALBA A,FERGUS R. Spectral Hashing[C]// 21st International Conference on Neural Information Processing Systems. NY,US:Curran Associates Inc., 2008:1753-1760.

[4] LIU W,WANG J,JI R,et al. Supervised Hashing with kernels[C]// 2012 IEEE Conference on Computer Vision and Pattern Recognition. Washington,DC,United States:IEEE Computer Society, 2012:2074-2081.

[5] KULIS B,DARRELL T. Learning to Hash with binary reconstructive embeddings[C]// International Conference on Neural Information Processing Systems. NY,US:Curran Associates Inc., 2009:1042-1050.

[6] NOROUZI M,FLEET D J. Minimal loss Hashing for compact binary codes[C]// 28th International Conference on International Conference on Machine Learning. NY,US:Omnipress, 2011:353-360.

[7] XIA R,PAN Y,LAI H,et al. Supervised Hashing for image retrieval via image representation learning[C]// AAAI Conference on Artificial Intelligence. Québec City,Canada:[s.n.], 2014:2156-2162.

[8] LIN G,SHEN C,HENGEL A V D. Supervised Hashing using graph cuts and boosted decision trees[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015,37(11):2317-2331.

[9] LIONG V E,LU J,WANG G,et al. Deep Hashing for compact binary codes learning[C]// Computer Vision and Pattern Recognition. Boston,MA:IEEE, 2015:2475-2483.

[10] YANG H F,LIN K,CHEN C S. Supervised learning of semantics-preserving Hashing via Deep Neural Networks for large-scale image search[J]. Computer Science, 2015,40(2):437-451.

[11] LI Hang. Statistical learning methods[M]. Beijing:Tsinghua University Press, 2012.

[12] SCHROFF F,KALENICHENKO D,PHILBIN J. FaceNet:a unified embedding for face recognition and clustering[C]// 2015 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Boston,MA,US:IEEE, 2015:815-823.

[13] HHANG Anning,HHANG GenchUn,FANG Gao,et al. A new dimension reduction method in face recognition:random projection[J]. Laser Journal, 2015,36(4):117-121.

[14] JOHNSON W B,LINDENSTRAUSS J. Extensions of Lipschitz mappings into a Hilbert space[C]// Proceedings of Conference in Modern Analysis and Probability. Providence,RI,USA:[s.n.], 1984,26:189-206.

[15] PARKHI O M,VEDALDI A,ZISSERMAN A. Deep face recognition[C]// Proceedings of the British Machine Vision Conference(BMVC). Swansea,UK:[s.n.], 2015:7-10.

[16] YI D,LEI Z,LIAO S,et al. Learning face representation from scratch[J]. arXiv preprint arXiv, 2014:1411.7923.

[17] NG H W,WINKLER S. A data-driven approach to cleaning large face datasets[C]// IEEE International Conference on Image Processing. Paris:IEEE, 2015:343-347.

[18] KRIZHEVSKY A,SUTSKEVER I,HINTON G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 2017,60(6):84-90.

[19] KRIZHEVSKY A,HINTON G E. Learning multiple layers of features from tiny images[R]. Computer Science Department, University of Toronto, 2009.

[20] JIA Yangqing,SHELHAMER Evan,DONAHUE Jeff,et al. Caffe:convolutional architecture for fast feature embedding[C]// 2014 ACM Conference on Multimedia. NY,US:Association for Computing Machinery Inc, 2014:675-678.

[21] LIU H,WANG R,SHAN S,et al. Deep supervised Hashing for fast image retrieval[J]. International Journal of Computer Vision, 2019,127(9):1217–1234.