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Step-by-step to success:Multi-stage learning driven robust audiovisual fusion network for fine-grained bird species classification

Shanshan Xie Jiangjian Xie Yang Liu Lianshuai Sha Ye Tian Jiahua Dong Diwen Liang Kaijun Pan Junguo Zhang

鸟类学研究（英文版）2025，Vol.16Issue(4)：818-831,14.

鸟类学研究（英文版）2025，Vol.16Issue(4)：818-831,14.DOI:10.1016/j.avrs.2025.100280

Step-by-step to success:Multi-stage learning driven robust audiovisual fusion network for fine-grained bird species classification

Shanshan Xie ¹Jiangjian Xie ¹Yang Liu ¹Lianshuai Sha ¹Ye Tian ¹Jiahua Dong ²Diwen Liang ²Kaijun Pan ²Junguo Zhang¹

作者信息

1. School of Technology,Beijing Forestry University,Beijing 100083,China||State Key Laboratory of Efficient Production of Forest Resources,Beijing 100083,China
2. South China Institute of Environmental Sciences,Ministry of Ecology and Environment & The Key Laboratory of Urban Ecological Environment Simulation and Protection,Ministry of Ecology and Environment of the People's Republic of China,Guangzhou 510535,China
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摘要

关键词

Audiovisual modality/Bird species classification/Feature fusion/Fine-grained

Key words

Audiovisual modality/Bird species classification/Feature fusion/Fine-grained

引用本文复制引用

Shanshan Xie,Jiangjian Xie,Yang Liu,Lianshuai Sha,Ye Tian,Jiahua Dong,Diwen Liang,Kaijun Pan,Junguo Zhang..Step-by-step to success:Multi-stage learning driven robust audiovisual fusion network for fine-grained bird species classification[J].鸟类学研究（英文版）,2025,16(4):818-831,14.

基金项目

This work was supported by the Beijing Natural Science Foundation(No.5252014),the Open Fund of The Key Laboratory of Urban Ecological Environment Simulation and Protection,Ministry of Ecology and Environment of the People's Republic of China(No.UEESP-202502),and the National Natural Science Foundation of China(No.62303063& 32371874). （No.5252014）

鸟类学研究（英文版）

ISSN：2055-6187

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