June 10, 2024, 4:48 a.m. | Christos Sakaridis, Haoran Wang, Ke Li, Ren\'e Zurbr\"ugg, Arpit Jadon, Wim Abbeloos, Daniel Olmeda Reino, Luc Van Gool, Dengxin Dai

cs.CV updates on arXiv.org arxiv.org

arXiv:2104.13395v4 Announce Type: replace
Abstract: Level-5 driving automation requires a robust visual perception system that can parse input images under any condition. However, existing driving datasets for dense semantic perception are either dominated by images captured under normal conditions or are small in scale. To address this, we introduce ACDC, the Adverse Conditions Dataset with Correspondences for training and testing methods for diverse semantic perception tasks on adverse visual conditions. ACDC consists of a large set of 8012 images, half …

arxiv cs.cv dataset driving perception replace robust semantic type

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