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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |