Search Results for author: Leonardo Matos

Found 2 papers, 0 papers with code

On the Impact of Interpretability Methods in Active Image Augmentation Method

no code implementations24 Feb 2021 Flavio Santos, Cleber Zanchettin, Leonardo Matos, Paulo Novais

The results show that all methods achieve similar performance at the ending of training, but when combining ADA with GradCam, the U-Net model presented an impressive fast convergence.

Image Augmentation

Learning to associate detections for real-time multiple object tracking

no code implementations12 Jul 2020 Michel Meneses, Leonardo Matos, Bruno Prado, André de Carvalho, Hendrik Macedo

With the recent advances in the object detection research field, tracking-by-detection has become the leading paradigm adopted by multi-object tracking algorithms.

Multi-Object Tracking Multiple Object Tracking +3

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