2020
IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving
RA-L 2020
Semantic segmentation is key in autonomous driving. Using deep visual learning architectures is not trivial in this context, because of the challenges in creating suitable large scale annotated datasets. This issue has been traditionally circumvented through the use of synthetic datasets, that have