A spectral-temporal fusion model with mixup augmentation and IoU loss achieves 100.00% and 95.55% on the two tracks of the ICASSP 2025 Person-in-Bed Detection Challenge.
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Spectral-Temporal Fusion Representation for Person-in-Bed Detection
A spectral-temporal fusion model with mixup augmentation and IoU loss achieves 100.00% and 95.55% on the two tracks of the ICASSP 2025 Person-in-Bed Detection Challenge.