2 papers
cs.CV2026
SAFe: Segment-guided Aggregation of Feature Densities for Anomaly-aware Segmentation
Anja Delić, Jurica Runtas, Marin Oršić +2
Visual segmentation systems encounter objects outside their training distribution during real-world deployment, hindering reliable autonomous systems that depend on scene parsing i…
cs.CV2024
Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
Jurica Runtas, Tomislav Petkovic
Deep neural networks (DNNs) are a contemporary solution for semantic segmentation and are usually trained to operate on a predefined closed set of classes. In open-set environments…