Abstract: Highlights•DSCF-CAMB framework integrates dual-stream fusion and class-aware memory bank.•Combines joint position and velocity data for enhanced action representation.•Selective training with high-confidence samples improves semi-supervised learning.•Superior performance on NTU RGB+D and NW-UCLA datasets in action recognition.
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