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cs.CV2026
Regularizing Attention Scores with Bootstrapping
Neo Christopher Chung, Maxim Laletin
Vision transformers (ViT) rely on attention mechanism to weigh input features, and therefore attention scores have naturally been considered as explanations for its decision-making…
cs.CV2025
Explain and Monitor Deep Learning Models for Computer Vision using Obz AI
Neo Christopher Chung, Jakub Binda
Deep learning has transformed computer vision (CV), achieving outstanding performance in classification, segmentation, and related tasks. Such AI-based CV systems are becoming prev…
cs.CV2025
Safeguarding Generative AI Applications in Preclinical Imaging through Hybrid Anomaly Detection
Jakub Binda, Valentina Paneta, Vasileios Eleftheriadis +3
Generative AI holds great potentials to automate and enhance data synthesis in nuclear medicine. However, the high-stakes nature of biomedical imaging necessitates robust mechanism…