Road Scene Multi-Object Detection Algorithm Based on CMS-YOLO
Author:
Affiliation:
1. School of Information Technology, Yancheng Institute of Technology, Yancheng, China
2. Yancheng XiongYing Precision Machinery Company Ltd., Yancheng, China
Funder
Jiangsu Graduate Practical Innovation Project
Major Project of Natural Science Research of Jiangsu Province Colleges and Universities
Natural Science Foundation of China
Natural Science Research Project of Jiangsu University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10296898.pdf?arnumber=10296898
Reference27 articles.
1. YOLOX: Exceeding YOLO series in 2021;ge;arXiv 2107 08430,2021
2. YOLOv4: Optimal speed and accuracy of object detection;bochkovskiy;arXiv 2004 10934,2020
3. YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
4. YOLOv6: A single-stage object detection framework for industrial applications;li;arXiv 2209 02976,2022
5. YOLOv3: An incremental improvement;redmon;arXiv 1804 02767,2018
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