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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Dettagli Bibliografici

Autori principali:	Shanshan Xie, Jiangjian Xie, Yang Liu, Lianshuai Sha, Ye Tian, Jiahua Dong, Diwen Liang, Kaijun Pan, Junguo Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	KeAi Communications Co., Ltd. 2025-12-01
Serie:	Avian Research
Soggetti:	Audiovisual modality Bird species classification Feature fusion Fine-grained
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2053716625000593
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