TY - GEN
T1 - FaRE
T2 - 26th IEEE International Conference on Image Processing, ICIP 2019
AU - Xu, Xiang
AU - Kakadiaris, Ioannis A.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Biometrics-related research has been accelerated significantly by deep learning technology. However, there are limited open-source resources to help researchers evaluate their deep learning-based biometrics algorithms efficiently, especially for the face recognition tasks. In this work, we design, implement, and evaluate a computationally lightweight, maintainable, scalable, generalizable, and extendable face recognition evaluation toolbox named FaRE that supports both online and offline evaluation to provide feedback to algorithm development and accelerate biometricsrelated research. FaRE includes a set of evaluation metrics and provides various APIs for commonly-used face recognition datasets including LFW, CFP, UHDB31, and IJBseries datasets. FaRE can be easily extended to include other datasets. The package is publically available for research use at https://github.com/uh-cbl/FaRE.
AB - Biometrics-related research has been accelerated significantly by deep learning technology. However, there are limited open-source resources to help researchers evaluate their deep learning-based biometrics algorithms efficiently, especially for the face recognition tasks. In this work, we design, implement, and evaluate a computationally lightweight, maintainable, scalable, generalizable, and extendable face recognition evaluation toolbox named FaRE that supports both online and offline evaluation to provide feedback to algorithm development and accelerate biometricsrelated research. FaRE includes a set of evaluation metrics and provides various APIs for commonly-used face recognition datasets including LFW, CFP, UHDB31, and IJBseries datasets. FaRE can be easily extended to include other datasets. The package is publically available for research use at https://github.com/uh-cbl/FaRE.
KW - Evaluation
KW - Face Recognition
KW - Toolbox
UR - http://www.scopus.com/inward/record.url?scp=85076814744&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076814744&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2019.8803411
DO - 10.1109/ICIP.2019.8803411
M3 - Conference contribution
AN - SCOPUS:85076814744
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3272
EP - 3276
BT - 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 September 2019 through 25 September 2019
ER -