SARNet: Spatial Attention Residual Network for pedestrian and vehicle detection in large scenes

Author:

Wei Hongyang,Zhang Qianqian,Han Jingjing,Fan Yingying,Qian YurongORCID

Funder

the national science foundation of china

the national natural science foundation of china

the funds for creative research groups of higher education of xinjiang uygur autonomous region

autonomous region graduate innovation project

tianshan innovation team plan project of xinjiang uygur autonomous region

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference53 articles.

Cited by 10 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. Pedestrian-vehicle detection model in road scenes based on improved YOLOv5;Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy;2024-03

2. Reparameterized dilated architecture: A wider field of view for pedestrian detection;Applied Intelligence;2024-01

3. IA-Det: Iterative Attention-Based Robust Object Detection in Adverse Traffic Scenes;IEEE Transactions on Instrumentation and Measurement;2024

4. A survey of deep learning-based object detection methods in crop counting;Computers and Electronics in Agriculture;2023-12

5. ST-YOLOX: a lightweight and accurate object detection network based on Swin Transformer;The Journal of Supercomputing;2023-11-13

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