Feature Extraction Model of SE-CMT Semantic Information Supplement
In image classification, beneficial semantic information supplementation can efficiently capture key regions and improve classification performance. To obtain beneficial image semantic information, an SE-CMT (SE-Networks CNN Meet Transformer) model is proposed. The model is based on the simple CNN f...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2024-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2384 |
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