Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets-Reference-Cited by-同舟云学术

Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets

Published:2022-04 Issue: Volume:120 Page:104420
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Holkar Ashwamegha,Walambe Rahee,Kotecha Ketan

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference62 articles.

1. The perception of people;Bruner,1954

2. The Model Method In Facial Recognition. Tech. Rep. Pri:15;Bledsoe,1964

3. The expression of the emotions;Darwin,1972

4. Charles Darwin’s The Expression Of The Emotions In Man And Animals, Third Edition, With Introduction, Afterwords And Commentaries By Paul Ekman,1998

5. Personal identification and description;Galton;Nature,1888

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