A fine‐grained image classification method based on information interaction
Abstract To enhance the accuracy of fine‐grained image classification and address challenges such as excessive interference factors within the dataset, inadequate extraction of local key features, and insufficient channel semantic association, a dual‐branch information interaction model that integra...
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| Main Authors: | Shuo Zhu, Xukang Zhang, Yu Wang, Zongyang Wang, Jiahao Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.13295 |
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