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BDD100K: A Diverse Driving Dataset for Heterogeneous Multit..:
, In:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Yu, Fisher
;
Chen, Haofeng
;
Wang, Xin
... - p. 2633-2642 , 2020
Link:
https://doi.org/10.1109/CVPR42600.2020.00271
RT T1 <cTitle>2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9156329&Exemplar=1&LAN=DE A1 Yu, Fisher A1 Chen, Haofeng A1 Wang, Xin A1 Xian, Wenqi A1 Chen, Yingying A1 Liu, Fangchen A1 Madhavan, Vashisht A1 Darrell, Trevor YR 2020 SN 2575-7075 K1 Task analysis K1 Visualization K1 Roads K1 Image segmentation K1 Meteorology K1 Training K1 Benchmark testing SP 2633 OP 2642 LK http://dx.doi.org/https://doi.org/10.1109/CVPR42600.2020.00271 DO https://doi.org/10.1109/CVPR42600.2020.00271 SF ELIB - SuUB Bremen
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