MSFFAL: Few-Shot Object Detection via Multi-Scale Feature Fusion and Attentive Learning
Few-shot object detection (FSOD) is proposed to solve the application problem of traditional detectors in scenarios lacking training samples. The meta-learning methods have attracted the researchers’ attention for their excellent generalization performance. They usually select the same class of supp...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2023-03-01
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| coleção: | Sensors |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1424-8220/23/7/3609 |
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