2 citations · 2 across the 5 of their papers we have counts for
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cs.CV2026
A self-supervised learning approach to deep filter banks for texture recognition
Joao B. Florindo, Lucas O. Lyra, Antonio E. Fabris
An important challenge in texture recognition is the limited amount of data for training frequently found in real-world applications. In computer vision in general, a successful st…
cs.CV2026
Deep neural networks with Fisher vector encoding for medical image classification
Lucas O. Lyra, Antonio E. Fabris, Joao B. Florindo
Orderless encoding methods have shown to improve Convolutional Neural Networks (CNNs) for image classification in the context of limited availability of data. Additionally, hybrid…