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Papers Manufacturing Quality Control

“Manufacturing Quality Control” 태그가 달린 논문 7편 · 필터 해제

Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control

2025-05-06 · Sajjad Rezvani Boroujeni, Hossein Abedi, Tom Bush

Visual defect detection in industrial glass manufacturing remains a critical challenge due to the low frequency of defective products, leading to imbalanced datasets that limit the performance of deep learning models and…

Data AugmentationDefect DetectionDenoisingimage-classification+2

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models

2025-02-03 · Tongkun Liu, Bing Li, Xiao Jin, Yupeng Shi 외

Industrial defect segmentation is critical for manufacturing quality control. Due to the scarcity of training defect samples, few-shot semantic segmentation (FSS) holds significant value in this field. However, existing …

Few-Shot Semantic SegmentationManufacturing Quality ControlMeta-LearningMetric Learning+2

Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples

2025-01-22 · Fadel M. Megahed, Ying-Ju Chen, Bianca Maria Colosimo, Marco Luigi Giuseppe Grasso 외

This expository paper introduces a simplified approach to image-based quality inspection in manufacturing using OpenAI's CLIP (Contrastive Language-Image Pretraining) model adapted for few-shot learning. While CLIP has d…

Few-Shot Learningimage-classificationImage ClassificationManufacturing Quality Control

Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control

2023-09-13 · Devang Mehta, Noah Klarmann

Manufacturing industries require efficient and voluminous production of high-quality finished goods. In the context of Industry 4.0, visual anomaly detection poses an optimistic solution for automatically controlled prod…

Anomaly DetectionAnomaly LocalizationDefect DetectionManufacturing Quality Control

Leveraging Human Computation for Quality Assurance in Open Source Communities

2022-01-29 · Open Access LMU 2022 1 · Johannah Sprinz

Software developed under the open source development model (OSSD) has risen to significant importance over the recent decades. With more and more critical components being developed under the OSSD, the need for extensive…

Manufacturing Quality Control

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

2020-05-12 · Aditya M. Deshpande, Ali A. Minai, Manish Kumar

Quality control is an essential process in manufacturing to make the product defect-free as well as to meet customer needs. The automation of this process is important to maintain high quality along with the high manufac…

Data AugmentationImage ClassificationManufacturing Quality ControlOne-Shot Learning

Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts

2020-05-12 · Aditya M. Deshpande, Anil Kumar Telikicherla, Vinay Jakkali, David A. Wickelhaus 외

Digitization has led to smart, connected technologies be an integral part of businesses, governments and communities. For manufacturing digitization, there has been active research and development with a focus on Cloud M…

Anomaly DetectionContour DetectionCurved Text DetectionFault Detection+3
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