Learning from algorithm-generated pseudo-annotations for detecting ants in videos

Deep learning (DL) based detection models are powerful tools for large-scale analysis of dynamic biological behaviors in video data. Supervised training of a DL detection model often requires a large amount of manually-labeled training data which are time-consuming and labor-intensive to acquire. In...

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Detalles Bibliográficos
Autores principales: Zhang, Yizhe, Imirzian, Natalie, Kurze, Christoph, Zheng, Hao, Hughes, David P., Chen, Danny Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354180/
https://www.ncbi.nlm.nih.gov/pubmed/37464003
http://dx.doi.org/10.1038/s41598-023-28734-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354180/
https://www.ncbi.nlm.nih.gov/pubmed/37464003
http://dx.doi.org/10.1038/s41598-023-28734-6

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