TY - GEN
T1 - A Comprehensive Study of Face Recognition Using Deep Learning
AU - Ito, Koichi
AU - Kawai, Hiroya
AU - Aoki, Takafumi
N1 - Publisher Copyright:
© 2021 APSIPA.
PY - 2021
Y1 - 2021
N2 - With the advent of deep learning, the performance of face recognition has been dramatically improved. On the other hand, there are few reports that discuss why the performance has been improved. In this paper, through comprehensive ex-periments, we analyze which regions are important in CNN-based face recognition. We employ the major four CNNs, AlexNet, ResNet, and EfficientNet, to be able to perform face recognition and three CNN visualization methods, Grad-CAM, Grad-CAM++, and Score-CAM, to visualize the regions in the face image that are emphasized by each face recognition method.
AB - With the advent of deep learning, the performance of face recognition has been dramatically improved. On the other hand, there are few reports that discuss why the performance has been improved. In this paper, through comprehensive ex-periments, we analyze which regions are important in CNN-based face recognition. We employ the major four CNNs, AlexNet, ResNet, and EfficientNet, to be able to perform face recognition and three CNN visualization methods, Grad-CAM, Grad-CAM++, and Score-CAM, to visualize the regions in the face image that are emphasized by each face recognition method.
UR - http://www.scopus.com/inward/record.url?scp=85126664363&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126664363&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85126664363
T3 - 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
SP - 1762
EP - 1768
BT - 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021
Y2 - 14 December 2021 through 17 December 2021
ER -