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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…
cs.CV2023
Class-Discriminative Attention Maps for Vision Transformers
Lennart Brocki, Jakub Binda, Neo Christopher Chung
Importance estimators are explainability methods that quantify feature importance for deep neural networks (DNN). In vision transformers (ViT), the self-attention mechanism natural…