Cargando…
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: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| 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 |