GLEM: a global–local enhancement method for fine-grained image recognition with attention erasure and multi-view cropping
Abstract Fine-grained image recognition (FGIR) aims to distinguish between visual objects and their subcategories with subtle differences. Due to the highly similar features between categories in fine-grained image recognition tasks, the model requires more substantial discriminative capability. Exi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00120-4 |
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