Rouyi Zhou

Gamba: Mamba-based graph convolutional network with dynamic graph topology learning for action recognition

Existing graph models predominantly utilize self-attention mechanisms to model feature correlations between the joints of each sample, which not only neglects dynamic relation dependencies in temporal dimension but also leads to redundant computation and difficulty in establishing a unified framewor