A single transformer-based network jointly performs object detection, drivable area segmentation, and lane line segmentation on BDD100K with reported state-of-the-art accuracy at real-time speed, along with a dilated label correction for fairer lane line evaluation.
Multi-task learning for dense prediction tasks: A survey,
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RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving
A single transformer-based network jointly performs object detection, drivable area segmentation, and lane line segmentation on BDD100K with reported state-of-the-art accuracy at real-time speed, along with a dilated label correction for fairer lane line evaluation.