2022
DOI: 10.1109/lsp.2022.3144898
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Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation Learning

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Cited by 8 publications
(1 citation statement)
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“…after achieving the features, they applied the KNN classifier to group the activities. In [23], in addition to using auto-encoder, they normalized motion sequence based on spatial-temporal asynchronous method during the process of auto-encoder. They pruned the temporal information that had less effect on the learning process.…”
Section: B Skeleton-based Human Activity Recognition and Discoverymentioning
confidence: 99%
“…after achieving the features, they applied the KNN classifier to group the activities. In [23], in addition to using auto-encoder, they normalized motion sequence based on spatial-temporal asynchronous method during the process of auto-encoder. They pruned the temporal information that had less effect on the learning process.…”
Section: B Skeleton-based Human Activity Recognition and Discoverymentioning
confidence: 99%