Improved steel surface defect detection algorithm based on YOLOv8
H Kong, C You - IEEE Access, 2024 - ieeexplore.ieee.org
An enhanced steel surface defect detection algorithm based on YOLOv8 was introduced to
enhance the accuracy of small target detection. This algorithm incorporates an attention-free …
enhance the accuracy of small target detection. This algorithm incorporates an attention-free …
YOLOv8-VSC: 一种轻量级的带钢表面缺陷检测算法.
王春梅， 刘欢 - Journal of Frontiers of Computer Science & …, 2024 - search.ebscohost.com
目前在带钢表面缺陷检测领域, 通用的目标检测算法复杂度高, 计算量庞大,
而一些中小型企业负责检测的终端设备通常不具备较强的计算能力, 计算资源有限 …
而一些中小型企业负责检测的终端设备通常不具备较强的计算能力, 计算资源有限 …
STD-Detector: spatial-to-depth feature-enhanced detection method for the surface defect detection of strip steel
C Wang, H Liu, X Yang, S Ma… - Journal of Electronic …, 2023 - spiedigitallibrary.org
Due to the small size, high density, and background noise associated with strip surface
defects, the current object detection model commonly faces limitations in performance. To …
defects, the current object detection model commonly faces limitations in performance. To …
UAV Remote Sensing Object Detection Based on 3D Multi-layer Feature Collaboration.
LYU Fu, FU Yuheng, HE Lina… - Journal of Frontiers of …, 2024 - search.ebscohost.com
To solve the large proportion of small targets and complex background in UAV (unmanned
aerial vehicle) aerial image, the current object detection model has the problems of low …
aerial vehicle) aerial image, the current object detection model has the problems of low …
Lightweight algorithm for strip steel surface defect detection based on feature enhancement
C Wang, H Liu - Proceedings of the 2023 6th International Conference …, 2023 - dl.acm.org
The small size of strip surface defects, dense defect distribution, and high background noise
leads to the problems of poor detection accuracy and real-time detectability of general …
leads to the problems of poor detection accuracy and real-time detectability of general …