Fine-Tuned Temporal Dense Sampling with 1D Convolutional Neural Network for Human Action Recognition

Human action recognition is a constantly evolving field that is driven by numerous applications. In recent years, significant progress has been made in this area due to the development of advanced representation learning techniques. Despite this progress, human action recognition still poses signifi...

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Detalles Bibliográficos
Autores principales: Lim, Kian Ming, Lee, Chin Poo, Tan, Kok Seang, Alqahtani, Ali, Ali, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256091/
https://www.ncbi.nlm.nih.gov/pubmed/37300004
http://dx.doi.org/10.3390/s23115276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256091/
https://www.ncbi.nlm.nih.gov/pubmed/37300004
http://dx.doi.org/10.3390/s23115276

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