Towards Real-Time PixOOD: Efficient Anomaly Segmentation for Autonomous Vehicles

Luca de Martino, Federico Aromolo, Federico Nesti +1

Real-time anomaly segmentation is essential for the safety of autonomous systems. Although recent approaches offer high accuracy, their computational cost limits their deployment o…