Automated Segmentation of Prohibited Items in X-ray Baggage Images Using Dense De-overlap Attention Snake-Reference-Cited by-同舟云学术

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Automated Segmentation of Prohibited Items in X-ray Baggage Images Using Dense De-overlap Attention Snake

Published:2022 Issue: Volume: Page:1-1
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Ma Bowen¹,Jia Tong²,Su Min²,Jia Xiaodong²,Chen Dongyue²,Zhang Yichun³

Affiliation:

1. Department of Artificial Intelligence, Northeastern University College of Information Science and Engineering, 504874 Shenyang, China

2. Department of Artificial Intelligence, Northeastern University College of Information Science and Engineering, 504874 Shenyang, Liaoning, China

3. China Institute of Arts Science & Technology, China Institute of Arts Science & Technology, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09772992.pdf?arnumber=9772992

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Scale Dense Detector for Prohibited Items Detection in X-Ray Images;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

2. Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation;Engineering Applications of Artificial Intelligence;2024-04

3. GADet: A Geometry-Aware X-Ray Prohibited Items Detector;IEEE Sensors Journal;2024-01-15

4. ForkNet: Overlapping Image Disentanglement for Accurate Prohibited Item Detection;IEEE Transactions on Instrumentation and Measurement;2024

5. Toward Dual-View X-Ray Baggage Inspection: A Large-Scale Benchmark and Adaptive Hierarchical Cross Refinement for Prohibited Item Discovery;IEEE Transactions on Information Forensics and Security;2024

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