Knowledge Commons of Institute of Automation,CAS
ACTDet: Augmented Cross Grained Transformer for Industrial PCB Detection | |
Jiayu, Zou1,2,3; Jie, Qin1,2; Senlin, Lin1,3; Xingang, Wang1 | |
2022-07 | |
会议名称 | International Conference on Pattern Recognition and Artificial Intelligence |
页码 | 483-490 |
会议日期 | 2022-08 |
会议地点 | Haikou, China |
摘要 | Printed circuit board plays a pivotal role in the development of industry. Automatic detection of targets in printed circuit board can greatly save the human resources and enhance the speed of detection. However, due to the inherent characteristic of printed circuit board, the targets are usually small objects with various illumination and shapes. We propose a general architecture, named ACTDet, to tackle the problems of small objects detection in printed circuit board. In specific, we design a cross grained transformer to leverage the low-level and high-level features and enhance the inherent interaction of different feature maps with various receptive fields. A number of data augmentation strategies are adopted to enrich training data, avoid overfitting, and improve robustness of detector. What’s more, a channel-guided attention block is utilized to reweight the contribution of each channel and encourages the network to learn the most important features. Extensive experiments illustrate the effectiveness of the proposed ACTDet network and ACTDet achieves state-of-the-art performance in our proposed well-annotated dataset. |
语种 | 英语 |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 目标检测、跟踪与识别 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51535 |
专题 | 中国科学院工业视觉智能装备工程实验室_精密感知与控制 |
通讯作者 | Xingang, Wang |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院大学 3.中国科学院计算技术研究所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Jiayu, Zou,Jie, Qin,Senlin, Lin,et al. ACTDet: Augmented Cross Grained Transformer for Industrial PCB Detection[C],2022:483-490. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ACTDet:Augmented Cro(4293KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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