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ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation. (arXiv:2202.00753v2 [cs.CV] UPDATED)
June 10, 2022, 1:11 a.m. | Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi
cs.LG updates on arXiv.org arxiv.org
Recent advancements in computer vision have seen a rise in the prominence of
applications using neural networks to understand human poses. However, while
accuracy has been steadily increasing on State-of-the-Art datasets, these
datasets often do not address the challenges seen in real-world applications.
These challenges are dealing with people distant from the camera, people in
crowds, and heavily occluded people. As a result, many real-world applications
have trained on data that does not reflect the data present in deployment,
leading …
More from arxiv.org / cs.LG updates on arXiv.org
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