Xue, Zilong and Wang, Bo and Xie, Yuanwei and Li, Zhibin and Fan, Xiaozheng and Lin, Chenyoukang and Wei, Peiyang and Chen, Linlin and Deng, Xun and Gan, Jianhong (2025) FDD-YOLO: A Lightweight Multi-scale Prohibited Items Detection Model. EAI Endorsed Transactions on AI and Robotics.
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Abstract
X-ray security inspection faces challenges such as severe occlusion, scale variation, and complex background when detecting prohibited items, requiring real-time and accurate detection. Although the YOLO series of models has high inference efficiency, they suffer from problems such as feature redund
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 20:21 |
| Last Modified: | 10 Apr 2026 17:44 |
| URI: | http://eprints.eai.eu/id/eprint/60357 |
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