3 papers
cs.CV2020
Meta Learning for Few-Shot One-class Classification
Gabriel Dahia, Maurício Pamplona Segundo
We propose a method that can perform one-class classification given only a small number of examples from the target class and none from the others. We formulate the learning of mea…
cs.CV2018
Improving Fingerprint Pore Detection with a Small FCN
Gabriel Dahia, Maurício Pamplona Segundo
In this work, we investigate if previously proposed CNNs for fingerprint pore detection overestimate the number of required model parameters for this task. We show that this is ind…
cs.CV2018
Automatic Dataset Annotation to Learn CNN Pore Description for Fingerprint Recognition
Gabriel Dahia, Maurício Pamplona Segundo
High-resolution fingerprint recognition often relies on sophisticated matching algorithms based on hand-crafted keypoint descriptors, with pores being the most common keypoint choi…