YOLOv8-MS-DWConv: enhancing hazardous goods detection in X-ray security imaging with multi-scale depthwise separable convolution
X-ray security inspection plays a vital role in public safety by enabling the automated detection of hazardous and prohibited items. However, real-world inspection scenarios often involve dense object stacking and severe occlusion, leading to frequent missed or false detections and limiting the effe...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
PeerJ Inc.
2026-02-01
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| Серія: | PeerJ Computer Science |
| Предмети: | |
| Онлайн доступ: | https://peerj.com/articles/cs-3593.pdf |
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