Global–local feature learning for fine-grained food classification based on Swin Transformer

Jun-Hwa Kim; Nam‐Ho Kim; Chee Sun Won

doi:10.1016/j.engappai.2024.108248

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Global–local feature learning for fine-grained food classification based on Swin Transformer

Jun-Hwa Kim Nam‐Ho Kim Chee Sun Won

Year: 2024 Journal: Engineering Applications of Artificial Intelligence Vol: 133 Pages: 108248-108248 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2024.108248

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Keywords:

Computer science Transformer Artificial intelligence Feature (linguistics) Feature learning Machine learning Pattern recognition (psychology) Electrical engineering Voltage

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Advanced Chemical Sensor Technologies

Physical Sciences → Engineering → Biomedical Engineering

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Smart Agriculture and AI

Life Sciences → Agricultural and Biological Sciences → Plant Science

Global–local feature learning for fine-grained food classification based on Swin Transformer

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