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Papers Weakly Supervised Defect Detection

“Weakly Supervised Defect Detection” 태그가 달린 논문 5편 · 필터 해제

ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects

2025-03-06 · Paul J. Krassnig, Dieter P. Gruber

Automatic visual inspection using machine learning-based methods plays a key role in achieving zero-defect policies in industry. Research on anomaly detection approaches is constrained by the availability of datasets tha…

Anomaly DetectionDefect DetectionSelf-Supervised Anomaly DetectionSupervised Anomaly Detection+3

DSR -- A dual subspace re-projection network for surface anomaly detection

2022-08-02 · Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj

The state-of-the-art in discriminative unsupervised surface anomaly detection relies on external datasets for synthesizing anomaly-augmented training images. Such approaches are prone to failure on near-in-distribution a…

Anomaly DetectionAnomaly LocalizationDefect DetectionSupervised Defect Detection+2

FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

2021-11-15 · Jiawei Yu, Ye Zheng, Xiang Wang, Wei Li 외

Unsupervised anomaly detection and localization is crucial to the practical application when collecting and labeling sufficient anomaly data is infeasible. Most existing representation-based approaches extract normal ima…

Anomaly DetectionUnsupervised Anomaly DetectionWeakly Supervised Defect Detection

S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample Learning

2021-08-23 · IEEE International Conference on Image Processing (ICIP) 2021 8 · Vikanksh Nath, Chiranjoy Chattopadhyay

Surface defect recognition of products is a necessary process to guarantee the quality of industrial production. This paper proposes a hybrid model, S2D2Net (Steel Surface Defect Diagnosis Network), for an efficient and …

Defect DetectionDiversityRobust classificationSmall Data Image Classification+1

Mixed supervision for surface-defect detection: from weakly to fully supervised learning

2021-04-13 · Jakob Božič, Domen Tabernik, Danijel Skočaj

Deep-learning methods have recently started being employed for addressing surface-defect detection problems in industrial quality control. However, with a large amount of data needed for learning, often requiring high-pr…

Anomaly DetectionDefect DetectionSupervised Defect DetectionWeakly Supervised Defect Detection
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