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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

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.

Indexed BySCI
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
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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