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1
IDD-AW: A Benchmark for Safe and Robust Segmentation of Dri..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Shaik, Furqan Ahmed
;
Reddy Malreddy, Abhishek
;
Billa, Nikhil Reddy
... - p. 4602-4611 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00455
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10484270&Exemplar=1&LAN=DE A1 Shaik, Furqan Ahmed A1 Reddy Malreddy, Abhishek A1 Billa, Nikhil Reddy A1 Chaudhary, Kunal A1 Manchanda, Sunny A1 Varma, Girish YR 2024 SN 2642-9381 K1 Measurement K1 Rain K1 Semantic segmentation K1 Snow K1 Semantics K1 Benchmark testing K1 Robustness K1 Algorithms K1 Datasets and evaluations K1 Applications K1 Autonomous Driving SP 4602 OP 4611 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00455 DO https://doi.org/10.1109/WACV57701.2024.00455 SF ELIB - SuUB Bremen
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