Pedestrian detection based on multi-scale feature fusion
Author:
Affiliation:
1. School of Automation, Guangxi University of Science and Technology,Liuzhou,China
2. School of Computer Science and Technology, Guangxi University of Science and Technology,Liuzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10019340/10019341/10019992.pdf?arnumber=10019992
Reference14 articles.
1. Pedestrian detection aided by deep learning semantic tasks
2. Taking a deeper look at pedestrians
3. Is Faster R-CNN Doing Well for Pedestrian Detection?
4. Local decorrelation for improved pedestrian detection [J];nam;Advances in neural information processing systems,2014
5. Pedestrian Detection: An Evaluation of the State of the Art
Cited by 1 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. High-Resolution Data-Driven Approach for Pedestrian Detection Using Deep Learning;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15
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