Step-by-step to success: Multi-stage learning driven robust audiovisual fusion network for fine-grained bird species classification
Bird monitoring and protection are essential for maintaining biodiversity, and fine-grained bird classification has become a key focus in this field. Audio-visual modalities provide critical cues for this task, but robust feature extraction and efficient fusion remain major challenges. We introduce...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-12-01
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| Series: | Avian Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2053716625000593 |
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