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Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos
These spatial features then undergo intermediate temporal modeling facilitated by the Mamba block before progressing to the encoder section, which comprises vanilla upsampling Shift S-GCN blocks.
ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action Recognition
However, the combination of pose, visual information, and text attributes has not been explored yet, though text and pose attributes independently have been proven to be effective in numerous computer vision tasks.
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