The week's pick
Reseach Article
k-Shot Learning for Face Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 181 - Number 18 |
| Year of Publication: 2018 |
| Authors: Omkar Ranadive, Dhiti Thakkar |
10.5120/ijca2018917871
|
Omkar Ranadive, Dhiti Thakkar . k-Shot Learning for Face Recognition. International Journal of Computer Applications. 181, 18 ( Sep 2018), 43-48. DOI=10.5120/ijca2018917871
Abstract
There have been many recent advancements in the field of artificial intelligence and machine learning. Nevertheless, the problem of learning from a few examples persists. The process of learning from just an example is easy for humans but not for a computer. Learning from a small number of samples is especially necessary in the case of facial recognition systems as the number of samples per person is limited. The aim is to explore, analyze and improve the different techniques which can be used for Face Recognition where the algorithm is fed with a few examples of faces i.e. the process of k shot learning for Face Recognition has been explored using the LFW and FEI datasets. The techniques of transfer learning have been used along with the famous Dlib library with some improvements using methods of deep learning.
References
- W. Zhao, R. Chellappa, A. Rosenfeld, P.J. Phillips: Face Recognition: A Literature Survey
- B.K. Low, E. Hjelmas: Face Detection: A Survey
- H.A. Rowley, S. Baluja, T. Kanade: Neural Network Based Face Detection
- Sinno Jialin Pan and Qiang Yang Fellow, IEEE. “A survey on Transfer Learning”.
- Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, and Joshua B. Tenenbaum. “One shot learning of simple visual concepts”.
- Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, Daan Wierstra. “Matching Networks for One-Shot Learning”.
- Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Timothy Lillicrap. "One-shot Learning with Memory-Augmented Neural Networks".
- Gregory Koch, Richard Zemel, Ruslan Salakhutdinov. "Siamese Neural Networks for One-shot Image Recognition".
- Parkhi, O.M., Vedaldi, A., Zisserman, A.: Deep face recognition. Proceedings of the British Machine Vision 1(3), 6 (2015)
- Y. Sun, L. Ding, X. Wang, and X. Tang. Deepid3: Face recognition with very deep neural networks.
- Kilian Q. Weinberger, John Blitzer and Lawrence K. Saul. Distance Metric Learning for Large Margin Nearest Neighbor Classification
- ] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. "Deep Residual Learning for Image Recognition".
- Davis E. King. "Dlib-ml: A Machine Learning Toolkit".
- Liton Chandra Paul, Abdulla Al Sumam. "Face Recognition Using Principal Component Analysis Method".
- Vahid Kazemi, Josephine Sullivan. "One Millisecond Face Alignment with an Ensemble of Regression Trees".
- Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller. Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments. University of Massachusetts, Amherst, Technical Report 07-49, October 2007.
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