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1 Ergebnisse
1
Litter segmentation with LOTS dataset:
, In:
Proceedings of the 2023 ACM Conference on Information Technology for Social Good
,
Barra, Paola
;
Orefice, Giosuè
;
Auriemma Citarella, Alessia
.. - p. 1-5 , 2023
Link:
https://dl.acm.org/doi/10.1145/3582515.3609511
RT T1 <cTitle>Proceedings of the 2023 ACM Conference on Information Technology for Social Good</cTitle>: T1 <Title>Litter segmentation with LOTS dataset</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3609511&Exemplar=1&LAN=DE A1 Barra, Paola A1 Orefice, Giosuè A1 Auriemma Citarella, Alessia A1 Castrillón-Santana, Modesto Fernando A1 Ciaramella, Angelo PB ACM YR 2023 K1 computer vision K1 dataset K1 litter detection K1 machine learning K1 segmentation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Image segmentation K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Computer systems organization K1 Architectures K1 Other architectures K1 Neural networks K1 Computer vision tasks K1 Vision for robotics SP 1 OP 5 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3582515.3609511 DO https://dl.acm.org/doi/10.1145/3582515.3609511 SF ELIB - SuUB Bremen
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