2023
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
ICCV 2023poster
Skeleton sequence representation learning has shown great advantages for action recognition due to its promising ability to model human joints and topology. However, the current methods usually require sufficient labeled data for training computationally expensive models. Moreover, these methods ign…