Image Recognition of Prohibited Express Packages Based on YOLOv4-Reference-Cited by-同舟云学术

Image Recognition of Prohibited Express Packages Based on YOLOv4

Published:2021-12-10 Issue: Volume: Page:
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Container-title:2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)
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Author:

Cheng Cheng¹,Wang Xifu¹,Shen Mengru¹,Cheng Yan²

Affiliation:

1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Beijing Jiaotong University,Beijing,China

2. Jingdong Logistics Group,Beijing,China

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9695521/9695500/09695855.pdf?arnumber=9695855

Reference7 articles.

1. YOLOv4: Optimal speed and accuracy of object detection;bochkovskiy,2020

2. Research on the application of smart safety supervision based on the artificial intelligence technology of the Internet of Things;sun;Digital Communication World,2021

3. Path Aggregation Network for Instance Segmentation

4. Design and implementation of X-ray Security inspection image intelligent recognition equipment based on deep learning;zhi;Electronic Test,2019

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1. Enhancing Transportation Security: Automated Prohibited Object Detection for Baggage Inspection Leveraging YOLO-NAS;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22

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