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- W4220673816 abstract "In this paper, we tackle the problem of classifying tree species from leaf images with deep learning. First, we classify leaf images with deep learning, focusing on a single leaf feature: only the whole-leaf feature, only the leaf-shape feature, or only the leaf-vein feature. The leaf feature that contributes to the classification accuracy differs depending on the species. Second, we classify leaf images by combining the whole-leaf, the leaf-shape, and the leaf-vein feature. We define combining these features as feature fusion. After feature fusion, the classification performance improves to 92.07%. It is important for people to teach which leaf features to focus on." @default.
- W4220673816 created "2022-04-03" @default.
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- W4220673816 date "2022-01-01" @default.
- W4220673816 modified "2023-10-16" @default.
- W4220673816 title "Feature Fusion for Leaf Image Classification" @default.
- W4220673816 doi "https://doi.org/10.1109/bigcomp54360.2022.00056" @default.
- W4220673816 hasPublicationYear "2022" @default.
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