Skeleton-Based Attention Mask for Pedestrian Attribute Recognition Network

This paper presents an extended model for a pedestrian attribute recognition network utilizing skeleton data as a soft attention model to extract a local feature corresponding to a specific attribute. This technique helped keep valuable information surrounding the target area and handle the variatio...

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Detalles Bibliográficos
Autores principales: Sooksatra, Sorn, Rujikietgumjorn, Sitapa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709013/
https://www.ncbi.nlm.nih.gov/pubmed/34940731
http://dx.doi.org/10.3390/jimaging7120264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709013/
https://www.ncbi.nlm.nih.gov/pubmed/34940731
http://dx.doi.org/10.3390/jimaging7120264

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