AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognition
Research evaluates 30 augmentation strategies for vein recognition across multiple datasets and architectures, revealing inconsistencies between accuracy and adversarial security w…
Hugging Face · Daily Papers
·Haiyang Li, Yuming Fu
·
·▲ 15 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Haiyang Li, Yuming Fu, Qun Song, Hongchao Liao, Jing Chen, Mounim A. EI-Yacoubi
- 15 upvotes da comunidade
- Temas: data augmentation, biometric technology, palm-vein, finger-vein, backbone architectures, CNNs
Resumo
Resumo original (em inglês), extraído do paper:
Research evaluates 30 augmentation strategies for vein recognition across multiple datasets and architectures, revealing inconsistencies between accuracy and adversarial security while highlighting dataset-specific effectiveness variations.