Matches in SemOpenAlex for { <https://semopenalex.org/work/W3201524937> ?p ?o ?g. }
- W3201524937 abstract "Human pose estimation in unconstrained images and videos is a fundamental computer vision task. To illustrate the evolutionary path in technique, in this survey we summarize representative human pose methods in a structured taxonomy, with a particular focus on deep learning models and single-person image setting. Specifically, we examine and survey all the components of a typical human pose estimation pipeline, including data augmentation, model architecture and backbone, supervision representation, post-processing, standard datasets, evaluation metrics. To envisage the future directions, we finally discuss the key unsolved problems and potential trends for human pose estimation." @default.
- W3201524937 created "2021-09-27" @default.
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- W3201524937 date "2021-09-21" @default.
- W3201524937 modified "2023-09-28" @default.
- W3201524937 title "Single Person Pose Estimation: A Survey." @default.
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