607 citations · 1.5k across the 20 of their papers we have counts for
3 papers · 1 filter
Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation
Rafael Henrique Vareto, Manuel Günther, William Robson Schwartz
Open-set face recognition refers to a scenario in which biometric systems have incomplete knowledge of all existing subjects. Therefore, they are expected to prevent face samples o…
Open-set Face Recognition using Ensembles trained on Clustered Data
Rafael Henrique Vareto, William Robson Schwartz
Open-set face recognition describes a scenario where unknown subjects, unseen during the training stage, appear on test time. Not only it requires methods that accurately identify…
Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers
Valfride Nascimento, Rayson Laroca, Jorge de A. Lambert +2
Recent years have seen significant developments in the field of License Plate Recognition (LPR) through the integration of deep learning techniques and the increasing availability…