Template-Driven Knowledge Distillation for Compact and Accurate Periocular Biometrics Deep-Learning Models

This work addresses the challenge of building an accurate and generalizable periocular recognition model with a small number of learnable parameters. Deeper (larger) models are typically more capable of learning complex information. For this reason, knowledge distillation (kd) was previously propose...

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Detalles Bibliográficos
Autores principales: Boutros, Fadi, Damer, Naser, Raja, Kiran, Kirchbuchner, Florian, Kuijper, Arjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914924/
https://www.ncbi.nlm.nih.gov/pubmed/35271074
http://dx.doi.org/10.3390/s22051921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914924/
https://www.ncbi.nlm.nih.gov/pubmed/35271074
http://dx.doi.org/10.3390/s22051921

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