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4 papers · 2 filters
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…
LPLC: A Dataset for License Plate Legibility Classification
Lucas Wojcik, Gabriel E. Lima, Valfride Nascimento +3
Automatic License Plate Recognition (ALPR) faces a major challenge when dealing with illegible license plates (LPs). While reconstruction methods such as super-resolution (SR) have…
Toward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and Benchmark
Valfride Nascimento, Gabriel E. Lima, Rafael O. Ribeiro +3
Recent advancements in super-resolution for License Plate Recognition (LPR) have sought to address challenges posed by low-resolution (LR) and degraded images in surveillance, traf…
Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentation
Rayson Laroca, Marcelo dos Santos, David Menotti
Detecting small drones, often indistinguishable from birds, is crucial for modern surveillance. This work introduces a drone detection methodology built upon the medium-sized YOLOv…