Cooperative distillation with X-ray images classifiers for prohibited items detection-Reference-Cited by-同舟云学术

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Cooperative distillation with X-ray images classifiers for prohibited items detection

Published:2024-01 Issue: Volume:127 Page:107276
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Wei Yuanxi^ORCID,liu Yinan,Wang Haibo

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference56 articles.

1. An evaluation of region based object detection strategies within X-ray baggage security imagery;Akcay,2017

2. Do deep nets really need to be deep?;Ba,2014

3. End-to-end object detection with transformers;Carion,2020

4. Learning efficient object detection models with knowledge distillation;Chen,2017

5. Foreground-background imbalance problem in deep object detectors: A review;Chen,2020

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

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

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