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Refign: Align and Refine for Adaptation of Semantic Segment..:
, In:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Bruggemann, David
;
Sakaridis, Christos
;
Truong, Prune
. - p. 3173-3183 , 2023
Link:
https://doi.org/10.1109/WACV56688.2023.00319
RT T1 <cTitle>2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10030987&Exemplar=1&LAN=DE A1 Bruggemann, David A1 Sakaridis, Christos A1 Truong, Prune A1 Van Gool, Luc YR 2023 SN 2642-9381 K1 Training K1 Visualization K1 Computer vision K1 Uncertainty K1 Semantic segmentation K1 Semantics K1 Refining K1 Algorithms: Image recognition and understanding (object detection K1 categorization K1 segmentation) K1 Machine learning architectures K1 formulations K1 and algorithms (including transfer K1 low-shot K1 semi- K1 self- K1 and un-supervised learning) K1 Robotics SP 3173 OP 3183 LK http://dx.doi.org/https://doi.org/10.1109/WACV56688.2023.00319 DO https://doi.org/10.1109/WACV56688.2023.00319 SF ELIB - SuUB Bremen
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