CABIF-Net: Robust Confidence-Based Audio-Visual Fusion for Fine-Grained Bird Recognition
Fine-grained bird identification is crucial for ecosystem monitoring, species conservation, and habitat assessment. However, in real-world environments, there are challenges such as imbalances in modality quality and interference from background noise. To improve fine-grained audio-visual bird class...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2026-04-01
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| Col·lecció: | Biology |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2079-7737/15/8/661 |
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