4 citations · 6 across the 2 of their papers we have counts for
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cs.CV2021★ 2 cited
On the Impact of Interpretability Methods in Active Image Augmentation Method
Flavio Santos, Cleber Zanchettin, Leonardo Matos +1
Robustness is a significant constraint in machine learning models. The performance of the algorithms must not deteriorate when training and testing with slightly different data. De…
cs.CV2020★ 4 cited
Learning to associate detections for real-time multiple object tracking
Michel Meneses, Leonardo Matos, Bruno Prado +2
With the recent advances in the object detection research field, tracking-by-detection has become the leading paradigm adopted by multi-object tracking algorithms. By extracting di…