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1 Ergebnisse
1
Train One, Generalize to All: Generalizable Semantic Segmen..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Gong, Ziyang
;
Li, Fuhao
;
Deng, Yupeng
... - p. 2275-2284 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3612387
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>Train One, Generalize to All: Generalizable Semantic Segmentation from Single-Scene to All Adverse Scenes</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3612387&Exemplar=1&LAN=DE A1 Gong, Ziyang A1 Li, Fuhao A1 Deng, Yupeng A1 Shen, Wenjun A1 Ma, Xianzheng A1 Ji, Zhenming A1 Xia, Nan PB ACM YR 2023 K1 adverse scenes understanding K1 domain generalization K1 semantic segmentation K1 unsupervised domain adaptation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Applied computing K1 Operations research K1 Transportation K1 Human-centered computing K1 Visualization K1 Visualization application domains SP 2275 OP 2284 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3612387 DO https://dl.acm.org/doi/10.1145/3581783.3612387 SF ELIB - SuUB Bremen
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