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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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
PeerJ Inc.
2026-02-01
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| Serie: | PeerJ Computer Science |
| Ämnen: | |
| Länkar: | https://peerj.com/articles/cs-3593.pdf |
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