PQ-DAF uses pose-conditioned diffusion generation plus CogVLM filtering to augment few-shot driver distraction training data, and reports large accuracy gains that are compromised by a non-standard train/test protocol.
A data augmen- tation approach to distracted driving detection,
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PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection
PQ-DAF uses pose-conditioned diffusion generation plus CogVLM filtering to augment few-shot driver distraction training data, and reports large accuracy gains that are compromised by a non-standard train/test protocol.