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

June 17, 2022, 1:13 a.m. | Tao Sun, Mattia Segu, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu

cs.CV updates on arXiv.org arxiv.org

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

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