DETR Based Prohibited Item Detection in X-ray Security Checking Images
Author:
Affiliation:
1. University of Science and Technology Liaoning
2. Shenzhen Polytechnic
3. Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260512.pdf?arnumber=10260512
Reference35 articles.
1. Deep Convolutional Neural Network Based Object Detector for X-Ray Baggage Security Imagery
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4. Yolov3: An incremental improvement[J];redmon;ArXiv Preprint,2018
5. On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery
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1. An Improved YOLOv7 Based Prohibited Item Detection Model in X-Ray Images;Lecture Notes in Computer Science;2024
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