HST-HGN uses heterogeneous spatial-temporal hypergraph networks combined with bidirectional Mamba state space models to achieve state-of-the-art driver fatigue assessment from untrimmed videos while maintaining computational efficiency for real-time use.
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HST-HGN: Heterogeneous Spatial-Temporal Hypergraph Networks with Bidirectional State Space Models for Global Fatigue Assessment
HST-HGN uses heterogeneous spatial-temporal hypergraph networks combined with bidirectional Mamba state space models to achieve state-of-the-art driver fatigue assessment from untrimmed videos while maintaining computational efficiency for real-time use.