Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3068749
Abstract: Although deep face recognition benefits significantly from large-scale training data, a current bottleneck is the labelling cost. A feasible solution to this problem is semi-supervised learning, exploiting a small portion of labelled data and large…
read more here.
Keywords:
face;
face recognition;
training;
semi supervised ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.2.023003
Abstract: Abstract. Face aging and rejuvenating work effectively in public security criminal investigation, cross-age recognition, and entertainment. However, three main problems still exist: the lack of accurate and sufficient dataset, low aging effect, and poor preservation…
read more here.
Keywords:
face;
aging rejuvenating;
face aging;
semi supervised ... See more keywords