Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss

1 code implementation • 1 Nov 2023 • Rafael Henrique Vareto, Yu Linghu, Terrance E. Boult, William Robson Schwartz, Manuel Günther

MEL modifies the traditional Cross-Entropy loss in favor of increasing the entropy for negative samples and attaches a penalty to known target classes in pursuance of gallery specialization.

Domain Adaptation Face Recognition +3

Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation

1 code implementation • 23 Aug 2023 • 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.

Face Recognition Image Classification +2

Open-set Face Recognition using Ensembles trained on Clustered Data

no code implementations • 14 Aug 2023 • Rafael Henrique Vareto, William Robson Schwartz

It is composed of clustering and an ensemble of binary learning algorithms that estimates when query face samples belong to the face gallery and then retrieves their correct identity.

Clustering Face Identification +1

The SWAX Benchmark: Attacking Biometric Systems with Wax Figures

no code implementations • 21 Oct 2019 • Rafael Henrique Vareto, Araceli Marcia Sandanha, William Robson Schwartz

A face spoofing attack occurs when an intruder attempts to impersonate someone who carries a gainful authentication clearance.