.png){kind=icon}
返回
A lightweight and efficient model for surface tiny defect detection
.png){kind=icon}
PRE
AI
DOI：10.1007/s10489-022-03633-x.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Due to the tiny size and the fuzzy pixels of tiny objects, tiny defect detection is a thorny problem in industry application. Meanwhile, the real-time detection of tiny defects is highly required in industrial assembly line. That is to say, tiny defect detection algorithms must ensure high accuracy while maintaining a low computational cost. This paper designs a lightweight and efficient network for tiny defect detection. In the backbone network, Diagonal Feature Pyramid (DFP) is proposed to improve the performance of tiny defect detection. For higher accuracy, DFP fuses more original features if they are at the same level. For less computational cost, DFP reduces the model size by eliminating the bottom-up pathway and removing some non-original same-level features. In the neck network, a multi-scale neck network with some fusion strategies is designed to suit multi-scale tiny defect detection. Finally, an adaptive localization loss function is designed to adjust the sensitivity of tiny defects. Based on a public PCB (Printed Circuit Board) dataset, the comparative experiments show that our model has better mAP and higher speed than various mainstream defect detection algorithms.
Keyword:
PCB
Tiny defect
Defect detection
Feature fusion
Diagonal feature pyramid
期刊
IF:
3.5
论文数:
7.7K
被引数:
1.7W
机构
引用论文
Crystalline‐State Reaction with Allosteric Effect in Spin‐Crossover, Interpenetrated Networks with Magnetic and Optical Bistability具有磁和光学双稳态的自旋交叉，互穿网络中具有变构效应的晶态反应
PREAI
分享收藏Comparative study of layer by layer assembled multilayer films based on graphene oxide and reduced graphene oxide on flexible polyurethane foam: flame retardant and smoke suppression properties.png)
RSC Advances
RSC AdvancesIF0
PREAI
分享收藏Thermal comfort, perceived air quality, and cognitive performance when personally controlled air movement is used by tropically acclimatized persons当热带适应的人使用个人控制的空气运动时，热舒适性，感知的空气质量和认知表现Indoor Air
OAAI
Indoor AirIF0
OAAI分享收藏Automatic fabric defect detection using a wide-and-light network使用宽光网络自动检测织物缺陷APPLIED INTELLIGENCE
APPLIED INTELLIGENCEIF3.5
PREAI
分享收藏Detection of PCB Surface Defects With Improved Faster-RCNN and Feature Pyramid Network基于改进的Faster-RCNN和特征金字塔网络的PCB表面缺陷检测IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
分享收藏
查看更多内容