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- Universidade Federal de Minas GeraisBR55 papers
- Universidade de São PauloBR16 papers
- Universidade Federal do Espírito SantoBR14 papers
- Universidade Federal do Rio Grande do SulBR13 papers
- Universidade Federal do ParanáBR11 papers
- University of CambridgeGB10 papers
- Universidade Estadual de Campinas (UNICAMP)BR8 papers
- Universidade Estadual Paulista (Unesp)BR8 papers
- Universidade Federal do Rio de JaneiroBR8 papers
- Chinese Academy of SciencesCN6 papers
- Institute of Modern PhysicsCN6 papers
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11 papers · 1 filter
Advancing Multinational License Plate Recognition Through Synthetic and Real Data Fusion: A Comprehensive Evaluation
Rayson Laroca, Valter Estevam, Gladston J. P. Moreira +2
Automatic License Plate Recognition is a frequent research topic due to its wide-ranging practical applications. While recent studies use synthetic images to improve License Plate…
PD-Loss: Proxy-Decidability for Efficient Metric Learning
Pedro Silva, Guilherme A. L. Silva, Pablo Coelho +4
Deep Metric Learning (DML) aims to learn embedding functions that map semantically similar inputs to proximate points in a metric space while separating dissimilar ones. Existing m…
A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility
Guilherme Silva, Pedro Silva, Gladston Moreira +3
The classification of electrocardiogram (ECG) signals is crucial for early detection of arrhythmias and other cardiac conditions. However, despite advances in machine learning, man…
A First Look at Dataset Bias in License Plate Recognition
Rayson Laroca, Marcelo Santos, Valter Estevam +2
Public datasets have played a key role in advancing the state of the art in License Plate Recognition (LPR). Although dataset bias has been recognized as a severe problem in the co…
Ocular Recognition Databases and Competitions: A Survey
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz +3
The use of the iris and periocular region as biometric traits has been extensively investigated, mainly due to the singularity of the iris features and the use of the periocular re…
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
Diego R. Lucio, Rayson Laroca, Luiz A. Zanlorensi +2
In this work, we propose to detect the iris and periocular regions simultaneously using coarse annotations and two well-known object detectors: YOLOv2 and Faster R-CNN. We believe…