DJAN: Deep Joint Adaptation Network for Wildlife Image Recognition

SIMPLE SUMMARY: Identifying wildlife species is crucial in various wildlife monitoring tasks. In this paper, a wildlife image recognition approach is implemented based on deep learning with a joint adaptation network. This paper presents a joint adversarial learning approach and a cross-domain local...

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Detalles Bibliográficos
Autores principales: Zhang, Changchun, Zhang, Junguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650680/
https://www.ncbi.nlm.nih.gov/pubmed/37958088
http://dx.doi.org/10.3390/ani13213333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650680/
https://www.ncbi.nlm.nih.gov/pubmed/37958088
http://dx.doi.org/10.3390/ani13213333

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