A plug-and-play augmentation that mixes same-label item patches and suppresses mismatched high-IoU losses improves X-ray prohibited-item detection under category and bounding-box annotation noise.
DivideMix: Learning with noisy labels as semi-supervised learning,
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Augmentation Matters: A Mix-Paste Method for X-Ray Prohibited Item Detection under Noisy Annotations
A plug-and-play augmentation that mixes same-label item patches and suppresses mismatched high-IoU losses improves X-ray prohibited-item detection under category and bounding-box annotation noise.