This study investigates the vulnerability of semantic segmentation models to adversarial input perturbations, in the domain of off- road autonomous driving.
This paper addresses the problem of dense depth predictions from sparse distance sensor data and a single camera image on challenging weather conditions.
BIRANet yields 72. 3/75. 3% average AP/AR on the NuScenes dataset, which is better than the performance of our base network Faster-RCNN with Feature pyramid network(FFPN).
Ranked #1 on Object Detection on nuScenes