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1 Ergebnisse
1
An unsupervised augmentation framework for deep learning ba..:
, In:
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
,
Xie, Yiqun
;
Bhojwani, Rahul
;
Shekhar, Shashi
. - p. 349-358 , 2018
Link:
https://dl.acm.org/doi/10.1145/3274895.3274901
RT T1 <cTitle>Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>An unsupervised augmentation framework for deep learning based geospatial object detection : a summary of results</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3274901&Exemplar=1&LAN=DE A1 Xie, Yiqun A1 Bhojwani, Rahul A1 Shekhar, Shashi A1 Knight, Joseph PB ACM YR 2018 K1 deep learning K1 geospatial objects K1 rectangles K1 remote sensing K1 rotations K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Machine learning approaches K1 Neural networks SP 349 OP 358 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3274895.3274901 DO https://dl.acm.org/doi/10.1145/3274895.3274901 SF ELIB - SuUB Bremen
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