Improved YOLOv7-based steel surface defect detection algorithm

Improved YOLOv7-based steel surface defect detection algorithm

In response to the limited detection ability and low model generalization ability of the YOLOv7 algorithm for small targets, this paper proposes a detection algorithm based on the improved YOLOv7 algorithm for steel surface defect detection. First, the Transformer-InceptionDWConvolution (TI) module...

Full description

Bibliographic Details
Main Authors: Yinghong Xie, Biao Yin, Xiaowei Han, Yan Hao
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
yolov7
transformer
attention mechanism
sppfcspc
defect detection
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024016?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/mbe.2024016?viewType=HTML

Similar Items