Learning a similarity metric discriminatively, with application to face verification

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1; pp. 539 - 546 vol. 1
• Main Authors: Chopra, S., Hadsell, R., LeCun, Y.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Artificial neural networks; Character generation; Drives; Face recognition; Glass; Robustness; Spatial databases; Support vector machine classification; Support vector machines; System testing

We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large and not known during training, and where the number of training samples for a single category is very small. The idea is to...