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.
Yolop: You only look once for panoptic driving perception,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.