MAFormer: A cross-channel spatio-temporal feature aggregation method for human action recognition
Hongbo Huang,
Longfei Xu,
Yaolin Zheng
et al.
Abstract:Human action recognition has been widely used in fields such as human–computer interaction and virtual reality. Despite significant progress, existing approaches still struggle with effectively integrating hierarchical information and processing data beyond a certain frame count. To address these challenges, we introduce the Multi-AxisFormer (MAFormer) model, which is organized in terms of spatial, temporal, and channel dimensions of the action sequence, thereby enhancing the model’s understanding of correlati… Show more
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