One-Shot Learning with Pseudo-Labeling for Cattle Video Segmentation in Smart Livestock Farming

SIMPLE SUMMARY: Deep learning-based segmentation methods rely on large-scale pixel-labeled datasets to achieve good performance. However, it is resource-costly to label animal images due to their irregular contours and changing postures. To keep a balance between segmentation accuracy and speed usin...

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Detalles Bibliográficos
Autores principales: Qiao, Yongliang, Xue, Tengfei, Kong, He, Clark, Cameron, Lomax, Sabrina, Rafique, Khalid, Sukkarieh, Salah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908826/
https://www.ncbi.nlm.nih.gov/pubmed/35268130
http://dx.doi.org/10.3390/ani12050558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908826/
https://www.ncbi.nlm.nih.gov/pubmed/35268130
http://dx.doi.org/10.3390/ani12050558

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