A graph neural network that learns separate joint-connection patterns for each feature channel and each time frame reports top or near-top accuracy on four skeleton gesture and action benchmarks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
A graph neural network that learns separate joint-connection patterns for each feature channel and each time frame reports top or near-top accuracy on four skeleton gesture and action benchmarks.