Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mukhiddin Toshpulatov"'
Publikováno v:
IEEE Access, Vol 12, Pp 93546-93567 (2024)
In deep learning (DL)–based human action recognition (HAR), considerable strides have been undertaken. Nevertheless, the precise classification of sports athletes’ actions still needs to be completed. Primarily attributable to the exigency for ex
Externí odkaz:
https://doaj.org/article/28a1ba60da4140bf99fe688eb98806cc
Publikováno v:
The Journal of Supercomputing. 78:7616-7654
Human pose estimation is one of the issues that have gained many benefits from using state-of-the-art deep learning-based models. Human pose, hand and mesh estimation is a significant problem that has attracted the attention of the computer vision co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cc08824f599553156d995d4f2b98a2d
https://doi.org/10.1007/s11227-021-04184-7
https://doi.org/10.1007/s11227-021-04184-7
Publikováno v:
Expert Systems with Applications. 219:119678
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c88dabb8cd1f6b4e1ef80f547a3a718
https://doi.org/10.1016/j.eswa.2023.119678
https://doi.org/10.1016/j.eswa.2023.119678
Publikováno v:
Image and Vision Computing. 108:104119
Generative adversarial networks (GANs) have been extensively studied in recent years and have been used to address several problems in the fields of image generation and computer vision. Despite significant advancements in computer vision, applying G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bcdca84f8014ef42d66fa2ead9ee6a8
https://doi.org/10.1016/j.imavis.2021.104119
https://doi.org/10.1016/j.imavis.2021.104119