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YOLOv8-LC9: a modified YOLOv8 for weld surface detection

Engineering Research Express
Abstract In order to address the computational resource constraints experienced in weld inspection equipment, this study proposes YOLOv8-LC9, a lightweight real-time detection model. The model is built upon ResNet, integrating depthwise, group, and pointwise convolutions to construct lightweight feature extraction modules (C9 and C3Ghost)
Zhaokai Sun, Zemin Feng, Ming Zhang
openaire   +1 more source

Student Behavior Detection in the Classroom Based on Improved YOLOv8

Sensors, 2023
Haiwei Chen, Guohui Zhou, Zhou Guohui
exaly  

YOLOv8-GR: Gesture Recognition by Improving of YOLOv8 Algorithm

2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD)
Yi Ding, Naixuan Guo, Haitao Meng
openaire   +1 more source

CAE-YOLOV8: Occlusion Object Detection Based on Improved YOLOv8

2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)
Ruiyu Liu   +3 more
openaire   +1 more source

Research on Traffic Sign Detection Based on Improved YOLOv8

Journal of Computer and Communications, 2023
Lintao Li
exaly  

YOLOv8-AMCD: Improved YOLOv8 for Small Object Detection

2024 6th International Conference on Robotics and Computer Vision (ICRCV)
YuYing Liang, Xin Chen
openaire   +1 more source

L-YOLOv8s: an improved YOLOv8s based on lightweight for defect insulator detection

Journal of Electronic Imaging
Yongsheng Ye   +6 more
openaire   +1 more source

Rbpsd-yolov8: weld surface defect detection based on improved YOLOv8

Journal of Real-Time Image Processing
Liuyi Ling   +5 more
openaire   +1 more source

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