TSE-GCN uses symmetry-aware graph reactivation and per-frame deformable temporal convolution to reach 90.0 and 91.1 percent on NTU RGB+D 120 with 4.4 million parameters.
On-line simultaneous learning and recognition of everyday activities from virtual reality per- formances
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Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition
TSE-GCN uses symmetry-aware graph reactivation and per-frame deformable temporal convolution to reach 90.0 and 91.1 percent on NTU RGB+D 120 with 4.4 million parameters.