Knowledge Commons of Institute of Automation,CAS
Pixel-level Contrastive Pre-Trainer for Industrial Image Representation | |
Bingke Zhu![]() ![]() ![]() | |
发表期刊 | IEEE Transactions on Instrumentation and Measurement
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2024 | |
卷号 | 73页码:1-13 |
摘要 | Industrial quality inspection aims to identify defective parts in industrial production processes. Commonly used methods for industrial quality inspection rely on feature representations that have been pre-trained on natural image datasets, such as ImageNet. However, these pre-trained models are not specifically tailored for industrial scenarios and therefore do not transfer well to downstream industrial tasks. In this study, we have curated a large-scale industrial production dataset called Ind-2M, which is specifically collected from industrial scenarios. This dataset serves to enhance the industrial representation of pre-training models. Additionally, we propose a Pixel-level COntrastive pre-trainer (PiCO) for industrial image representation. PiCO not only improves the global industrial representation through industrial production classification, but also enhances the local industrial representation through pixel-level self-supervision. Experimental results demonstrate that PiCO effectively transfers to downstream industrial tasks, such as multi-label defect classification and anomaly detection, outperforming existing pre-trained methods. We hope PiCO can initiate a new paradigm for industrial image pre-training. |
DOI | 10.1109/TIM.2024.3353860 |
URL | 查看原文 |
收录类别 | SCI |
语种 | 英语 |
七大方向——子方向分类 | 图像视频处理与分析 |
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 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57373 |
专题 | 紫东太初大模型研究中心 |
通讯作者 | Yingying Chen |
作者单位 | Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Bingke Zhu,Yingying Chen,Ming Tang,et al. Pixel-level Contrastive Pre-Trainer for Industrial Image Representation[J]. IEEE Transactions on Instrumentation and Measurement,2024,73:1-13. |
APA | Bingke Zhu,Yingying Chen,Ming Tang,&Jinqiao Wang.(2024).Pixel-level Contrastive Pre-Trainer for Industrial Image Representation.IEEE Transactions on Instrumentation and Measurement,73,1-13. |
MLA | Bingke Zhu,et al."Pixel-level Contrastive Pre-Trainer for Industrial Image Representation".IEEE Transactions on Instrumentation and Measurement 73(2024):1-13. |
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tim24-Pixel-level_Co(1590KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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