GFP predicts hierarchical high-level features from a jointly trained lightweight target network instead of reconstructing joint coordinates, speeding up masked skeleton pretraining 6.2x while improving downstream accuracy.
Hierarchical transformer: Unsupervised representation learning for skeleton-based hu- man action recognition
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Towards Efficient General Feature Prediction in Masked Skeleton Modeling
GFP predicts hierarchical high-level features from a jointly trained lightweight target network instead of reconstructing joint coordinates, speeding up masked skeleton pretraining 6.2x while improving downstream accuracy.