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Found 2 papers, 1 papers with code
Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
While current methods focus on exploiting body part-based representations, they often neglect the hierarchical dependencies between local motion patterns.
GaitMM: Multi-Granularity Motion Sequence Learning for Gait Recognition
In this study, we propose a multi-granularity motion representation network (GaitMM) for gait sequence learning.
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