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Pixel-level Contrastive Pre-Trainer for Industrial Image Representation
Bingke Zhu; Yingying Chen; Ming Tang; Jinqiao Wang
Source PublicationIEEE Transactions on Instrumentation and Measurement
2024
Volume73Pages:1-13
Abstract

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.

DOI10.1109/TIM.2024.3353860
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Indexed BySCI
Language英语
Sub direction classification图像视频处理与分析
planning direction of the national heavy laboratory视觉信息处理
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57373
Collection紫东太初大模型研究中心
Corresponding AuthorYingying Chen
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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