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1 Ergebnisse
1
A Hybrid Self-supervised Learning Framework For Hyperspectr..:
, In:
Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology
,
Fang, Xiaoqi
;
Zhang, Guoyun
;
Zhang, Guifeng
... - p. 1-7 , 2023
Link:
https://dl.acm.org/doi/10.1145/3627341.3631083
RT T1 <cTitle>Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology</cTitle>: T1 <Title>A Hybrid Self-supervised Learning Framework For Hyperspectral Image Classification</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3631083&Exemplar=1&LAN=DE A1 Fang, Xiaoqi A1 Zhang, Guoyun A1 Zhang, Guifeng A1 Zhou, Xuhui A1 Wu, Jianhui A1 Zhao, Lin PB ACM YR 2023 K1 Hyperspectral image classification K1 contrastive learning K1 masked image reconstruction K1 self-supervised learning K1 Computing methodologies K1 Artificial intelligence K1 Machine learning K1 Computer vision K1 Learning paradigms K1 Machine learning approaches K1 Supervised learning K1 Classification and regression trees K1 Neural networks K1 Supervised learning by classification SP 1 OP 7 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3627341.3631083 DO https://dl.acm.org/doi/10.1145/3627341.3631083 SF ELIB - SuUB Bremen
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