EAOD‐Net: Effective anomaly object detection networks for X‐ray images-Reference-Cited by-同舟云学术

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EAOD‐Net: Effective anomaly object detection networks for X‐ray images

Published:2022-04-22 Issue:10 Volume:16 Page:2638-2651
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Ma Chunjie¹^ORCID,Zhuo Li¹,Li Jiafeng¹,Zhang Yutong¹,Zhang Jing¹^ORCID

Affiliation:

1. Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology 100 Pingleyuan Beijing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12514

Reference50 articles.

1. Vehicle detection in intelligent transport system under a hazy environment: a survey

2. Nondestructive Defect Detection in Castings by Using Spatial Attention Bilinear Convolutional Neural Network

3. Defect detection in X-ray images using fuzzy reasoning

4. Ensemble learning‐based COVID‐19 detection by feature boosting in chest X‐ray images

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2. FDTNet: Enhancing frequency-aware representation for prohibited object detection from X-ray images via dual-stream transformers;Engineering Applications of Artificial Intelligence;2024-07

3. Fine-YOLO: A Simplified X-ray Prohibited Object Detection Network Based on Feature Aggregation and Normalized Wasserstein Distance;Sensors;2024-06-02

4. A binary sparrow search algorithm for feature selection on classification of X-ray security images;Applied Soft Computing;2024-06

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