A heterogeneous facial hypergraph plus Bi-Mamba reaches 98.57% accuracy on curated YawDD fatigue clips with 0.3M parameters and linear-time temporal modeling.
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HST-HGN: Heterogeneous Spatial-Temporal Hypergraph Networks with Bidirectional State Space Models for Global Fatigue Assessment
A heterogeneous facial hypergraph plus Bi-Mamba reaches 98.57% accuracy on curated YawDD fatigue clips with 0.3M parameters and linear-time temporal modeling.