Related references
Note: Only part of the references are listed.SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Philipp Terhorst et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition
Bingyu Liu et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Probabilistic Face Embeddings
Yichun Shi et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Linkage Based Face Clustering via Graph Convolution Network
Zhongdao Wang et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Additive Margin Softmax for Face Verification
Feng Wang et al.
IEEE SIGNAL PROCESSING LETTERS (2018)
Learning Face Image Quality From Human Assessments
Lacey Best-Rowden et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2018)
IARPA Janus Benchmark - C: Face Dataset and Protocol
Brianna Maze et al.
2018 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB) (2018)
VGGFace2: A dataset for recognising faces across pose and age
Qiong Cao et al.
PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018) (2018)
IARPA Janus Benchmark-B Face Dataset
Cameron Whitelam et al.
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)
AgeDB: the first manually collected, in-the-wild age database
Stylianos Moschoglou et al.
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)
Deep Metric Learning with Angular Loss
Jian Wang et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
No-Reference Image Quality Assessment in Spatial Domain
Tao Sun et al.
GENETIC AND EVOLUTIONARY COMPUTING (2015)
Making a Completely Blind Image Quality Analyzer
Anish Mittal et al.
IEEE SIGNAL PROCESSING LETTERS (2013)
A comparison of extrinsic clustering evaluation metrics based on formal constraints
Enrique Amigo et al.
INFORMATION RETRIEVAL (2009)
Performance of biometric quality measures
Patrick Grother et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)