Seungheon Song

Leveraging Text-Driven Semantic Variation for Robust OOD Segmentation

In autonomous driving and robotics, ensuring road safety and reliable decision-making critically depends on out-of-distribution (OOD) segmentation. While numerous methods have been proposed to detect anomalous objects on the road, leveraging the vision-language space–which provides rich linguistic k