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Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN

Abstract: 

Face detection and recognition in the wild is currently one of the most interesting and challenging problems. Many algorithms with high performance have already been proposed and applied in real-world applications. However, the problem of detecting and recognising degraded faces from low-quality images and videos mostly remains unsolved. In this paper, we present an algorithm capable of recovering facial features from low-quality videos and images. The resulting output image boosts the performance of existing face detection and recognition algorithms. It contains an effective method involving metric learning and different loss function components operating on different parts of the generator. This enhances the degraded faces by restoring their lost features rather than its perceptual quality. Our approach has been experimentally proven to enhance face detection and recognition, e.g., the face detection rate is improved by 3.08% for S3FD and the area under the ROC curve for recognition
is improved by 2.55% for ArcFace on the SCFace dataset

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Paper Details

Authors:
Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Robertson
Submitted On:
9 November 2020 - 5:21pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Soumya Shubhra Ghosh
Paper Code:
ARS-17.6
Document Year:
2020
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Document Files

ICIP_2020_slides.pdf

(9)

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[1] Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Robertson, "Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5550. Accessed: Nov. 29, 2020.
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url = {http://sigport.org/5550},
author = {Soumya Shubhra Ghosh; Yang Hua; Sankha Subhra Mukherjee; Neil Robertson },
publisher = {IEEE SigPort},
title = {Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN},
year = {2020} }
TY - EJOUR
T1 - Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN
AU - Soumya Shubhra Ghosh; Yang Hua; Sankha Subhra Mukherjee; Neil Robertson
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5550
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Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Robertson. (2020). Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN. IEEE SigPort. http://sigport.org/5550
Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Robertson, 2020. Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN. Available at: http://sigport.org/5550.
Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Robertson. (2020). "Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN." Web.
1. Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Robertson. Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5550