2 citations · 2 across the 3 of their papers we have counts for
3 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★ 2 cited
Outlier detection by ensembling uncertainty with negative objectness
Anja Delić, Matej Grcić, Siniša Šegvić
Outlier detection is an essential capability in safety-critical applications of supervised visual recognition. Most of the existing methods deliver best results by encouraging stan…
cs.CV2023
Real time dense anomaly detection by learning on synthetic negative data
Anja Delić, Matej Grcić, Siniša Šegvić
Most approaches to dense anomaly detection rely on generative modeling or on discriminative methods that train with negative data. We consider a recent hybrid method that optimizes…