A two-module post-processing framework (tracking-based relabeling plus virtual bounding box injection) reports +1.6% to +3.1% mAP@50 on helmet violation detection, but only on a self-annotated test set with fitted confidence offsets.
End-to-end object de- tection with transformers,
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VisionGuard: Synergistic Framework for Helmet Violation Detection
A two-module post-processing framework (tracking-based relabeling plus virtual bounding box injection) reports +1.6% to +3.1% mAP@50 on helmet violation detection, but only on a self-annotated test set with fitted confidence offsets.