1 citations · 4 across the 12 of their papers we have counts for
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IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
Sebastian-Vasile Echim, Andrei-Alexandru Preda, Dumitru-Clementin Cercel +1
Deep neural networks currently dominate many fields of the artificial intelligence landscape, achieving state-of-the-art results on numerous tasks while remaining hard to understan…
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
Sebastian-Vasile Echim, Iulian-Marius Tăiatu, Dumitru-Clementin Cercel +1
This work focuses on plant leaf disease classification and explores three crucial aspects: adversarial training, model explainability, and model compression. The models' robustness…
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification
Adrian Gheorghiu, Iulian-Marius Tăiatu, Dumitru-Clementin Cercel +2
The detection and classification of diseases in Robusta coffee leaves are essential to ensure that plants are healthy and the crop yield is kept high. However, this job requires ex…
End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition
Emilian-Claudiu Mănescu, Răzvan-Alexandru Smădu, Andrei-Marius Avram +2
Lip reading or visual speech recognition has gained significant attention in recent years, particularly because of hardware development and innovations in computer vision. While co…