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Fig 1.

Fusion methods.

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Fig 2.

The framework of the MAF-Net.

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Table 1.

Keypoint names and their indices.

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Table 2.

Structure and characteristics of the data.

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Fig 3.

Feature selection technique.

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Fig 4.

The framework of multi-head self-attention module.

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Fig 5.

The framework of multi-head self-attention module.

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Table 3.

Analysis in relation to the most effective methods for NTU RGB+D.

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Table 4.

Analysis in relation to the most effective methods for SYSU.

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Table 5.

Analysis in relation to the most effective methods for UTD-MHAD.

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Table 6.

Analysis in relation to the most effective methods for MMACT.

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Table 7.

Performance comparison of models with and without data enhancement across multiple datasets.

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Fig 6.

The illustration of the skeleton attention mechanism on UTD-MHAD.

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Fig 7.

The illustration of the skeleton attention mechanism on SYSU.

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Fig 8.

The heatmap of the self-attention on UTD-MHAD.

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