CMSEA: Compound Model Scaling With Efficient Attention for Fine-Grained Image Classification
The purpose of fine-grained image classification is to distinguish subcategories belonging to the same basic-level category, for example, two hundred subcategories belonging to birds. It has been a challenging topic in the field of computer vision in recent years due to the small inter-class varianc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9709271/ |