Research Article
A Lightweight Hierarchical Model with Frame-Level Joints Adaptive Graph Convolution for Skeleton-Based Action Recognition
Table 5
Performance comparison of NTU60.
| ā | Methods | Year | CS | CV |
| CNN | HCN [8] | 2018 | 86.5 | 91.1 | View-invariant CNN [9] | 2019 | 86.7 | 91.8 | RNN | Ind-RNN [13] | 2018 | 81.8 | 88.0 | 2s ARRN-LSTM [14] | 2019 | 81.8 | 89.4 | AGC-LSTM [36] | 2019 | 89.2 | 95.0 | GCN | ST-GCN [19] | 2018 | 81.5 | 88.3 | 2s-AGCN [20] | 2019 | 88.5 | 95.1 | SGN [26] | 2020 | 89.0 | 94.5 | Ours | FLAGCN | ā | 89.4 | 94.8 |
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