YOLOv3-A: a traffic sign detection network based on attention mechanism
To solve the problem that the existing YOLOv3 algorithm had more false detections and missed detections for traffic sign detection task with small target problems and complex background, based on the YOLOv3, a channel attention method for target detection and a spatial attention method based on sema...
Saved in:
Main Authors: | Fan GUO, Yongxiang ZHANG, Jin TANG, Weiqing LI |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2021-01-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021031/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Improved YOLOv7 for Traffic Obstacle Detection
by: Yifan Yang, et al.
Published: (2024-12-01) -
Small face detection based on improved YOLOv5s
by: ZHOU Lifang, et al.
Published: (2024-12-01) -
Small target detection in UAV view based on improved YOLOv8 algorithm
by: Xiaoli Zhang, et al.
Published: (2025-01-01) -
Lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution
by: Gang XIE, et al.
Published: (2023-10-01) -
Effect of Signs Types on Level of Traffic Signs Understanding of Motorcyclists
by: Dewi Maulina, et al.
Published: (2023-07-01)