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ME-D2N: Multi-Expert Domain Decompositional Network for Cro..:
, In:
Proceedings of the 30th ACM International Conference on Multimedia
,
Fu, Yuqian
;
Xie, Yu
;
Fu, Yanwei
.. - p. 6609-6617 , 2022
Link:
https://dl.acm.org/doi/10.1145/3503161.3547995
RT T1 <cTitle>Proceedings of the 30th ACM International Conference on Multimedia</cTitle>: T1 <Title>ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3547995&Exemplar=1&LAN=DE A1 Fu, Yuqian A1 Xie, Yu A1 Fu, Yanwei A1 Chen, Jingjing A1 Jiang, Yu-Gang PB ACM YR 2022 K1 classification for unbalanced data K1 cross-domain few-shot learning K1 multi-expert learning K1 network decomposition. K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Machine learning K1 Machine learning approaches K1 Learning latent representations SP 6609 OP 6617 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3503161.3547995 DO https://dl.acm.org/doi/10.1145/3503161.3547995 SF ELIB - SuUB Bremen
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