SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. (arXiv:2206.08367v1 [cs.CV])

Web: http://arxiv.org/abs/2206.08367

Adapting to a continuously evolving environment is a safety-critical
challenge inevitably faced by all autonomous driving systems. Existing image
and video driving datasets, however, fall short of capturing the mutable nature
of the real world. In this paper, we introduce the largest multi-task synthetic
dataset for autonomous driving, SHIFT. It presents discrete and continuous
shifts in cloudiness, rain and fog intensity, time of day, and vehicle and
pedestrian density. Featuring a comprehensive sensor suite and annotations for
several mainstream perception …

arxiv cv dataset domain adaptation