Coarse ground truth improves semantic segmentation accuracy for some classes.
problem Efficiently preparing high-quality datasets for autonomous driving.
method Comparative analysis of fine and coarse ground truth annotations on Cityscapes dataset using PSPNet.
result Coarse ground truth annotations can improve semantic segmentation accuracy for some classes without significant loss.