Real-time multi-task learning with cross-task attention and edge supervision for autonomous driving perception
A lightweight multi-task learning framework for safety-critical autonomous driving perception that strikes a balance between accuracy and real-time performance in multi-task perception, thereby supporting safety-critical perception by reducing perception latency and improving perception reliability.