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Animal classification considering infrared few-shot open-set recognition

This paper introduced the novel Infrared Few-shot Open-set Recognition (IFOR) framework for effective nighttime wildlife surveillance using limited infrared images. We focused on the effectiveness of three critical methods: small-scale datasets, domain shift, and open-set recognition for addressing...

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Principais autores: Koki Kishi, Ranmaru Ito, Sulfayanti F. Situju, Hironori Takimoto, Akihiro Kanagawa
Formato: Artigo
Idioma:Inglês
Publicado em: Taylor & Francis Group 2025-12-01
coleção:Cogent Engineering
Assuntos:
Infrared few-shot open-set recognition
few-shot learning
meta learning
vision transformer
infrared image
animal classification in camera traps
Acesso em linha:https://www.tandfonline.com/doi/10.1080/23311916.2025.2560976
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