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Global–local feature learning for fine-grained food classif..:
Kim, Jun-Hwa
;
Kim, Namho
;
Won, Chee Sun
Engineering Applications of Artificial Intelligence. 133 (2024) - p. 108248 , 2024
Link:
https://doi.org/10.1016/j.engappai.2024.108248
RT Journal T1 <Title>Global–local feature learning for fine-grained food classification based on Swin Transformer</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2024.108248&Exemplar=1&LAN=DE A1 Kim, Jun-Hwa A1 Kim, Namho A1 Won, Chee Sun PB Elsevier BV YR 2024 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 133 SP 108248 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2024.108248 DO https://doi.org/10.1016/j.engappai.2024.108248 SF ELIB - SuUB Bremen
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