Guided Dual-Attention Networks for Compact Driver Drowsiness Detection: Performance, Calibration, and Edge Deployment
We present a comprehensive empirical study of attention mechanisms for eye-based driver drowsiness detection, evaluating 13 model variants across accuracy, calibration, cross-dataset generalization, and FPGA edge deployment. We introduce the Guided Dual-Attention Unit (GDAU), which combines position-aware spatial atten...