SAFe: Segment-guided Aggregation of Feature Densities for Anomaly-aware Segmentation

Visual segmentation systems encounter objects outside their training distribution during real-world deployment, hindering reliable autonomous systems that depend on scene parsing in the perception stage. Many recent methods address this by using self-supervised foundation models to train density est