Prazo para submissão: 31 March 2025
Data de Notificação: 01/04/2025
Editora: Elsevier
Revista: Pattern Recognition
Detalhes:
The rapid advancement of visual pattern recognition systems has led to their transition from laboratory settings to real-world applications, where they face the challenges of distribution shifts and adversarial samples. This special issue focuses on innovative methodologies that enhance the robustness and generalization capabilities of visual classifiers on unknown data in diverse, uncontrolled environments, addressing key issues such as dataset imbalance, adversarial attacks, and the exploitati