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Defect detection on new samples with siamese defect-aware attention network
Deep learning-based methods have recently shown great promise in the defect detection task. However, current methods rely on large-scale annotated...
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Semi-supervised auxiliary learning for surface defect detection and segmentation of injection-molded products from small image datasets
Accurate detection of injection molding defects plays a crucial role in effective quality control of injection-molded products. This paper presents a...
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Defect scattering can lead to enhanced phonon transport at nanoscale
Defect scattering is well known to suppress thermal transport. In this study, however, we perform both molecular dynamics and Boltzmann transport...
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Algorithm for Generating Tire Defect Images Based on RS-GAN
Aiming at the problems of poor image quality, unstable training process and slow convergence speed in the data expansion method for generating... -
Foreground–background separation transformer for weakly supervised surface defect detection
In industrial scenarios, weakly supervised pixel-level defect detection methods leverage image-level labels for training, significantly reducing the...
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Fabric4show: real-time vision system for fabric defect detection and post-processing
The exploration of computer vision applications for fabric defect detection has immense potential value. However, current relevant research in this...
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A Defect Detection Method of Drainage Pipe Based on Improved YOLOv5s
In response to the existing challenges associated with manual interpretation, low efficiency, high leakage, and misdetection rates in detecting... -
PCB defect detection algorithm based on CDI-YOLO
During the manufacturing process of printed circuit boards (PCBs), quality defects can occur, which can affect the performance and reliability of...
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Automotive adhesive defect detection based on improved YOLOv8
In automotive adhesive defect detection, manual inspection suffers from low efficiency and blind spots in human vision, which affects the performance...
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Pavement Defect Detection Method Based on Deep Learning
Due to factors such as vehicle overload, temperature changes and natural aging, cracks, pits and other defects will inevitably appear on the road... -
Unsupervised Fabric Defect Detection Framework Based on Knowledge Distillation
Fabric defect detection is a critical task in the textile industry. Efficient and accurate automated detection schemes, such as computer vision... -
Bushing Surface Defect Detection Method Based on Improved YOLOX
A small target defect detection approach based on multi-attention feature fusion is suggested based on YOLOX in order to address the issues of high... -
Multi-scale Texture Network for Industrial Surface Defect Detection
Automated surface defect detection is crucial for ensuring product quality in industrial settings. This paper presents a multi-scale texture network... -
Reconstruction of Partial Defect of Ear in a Tertiary Care Institute
Auricle is the outward visible part of ear and composed of skin and cartilage. Auricle due to its standout and projected position is more vulnerable...
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Human Genetics of Atrioventricular Septal Defect
Atrioventricular septal defects (AVSD), also known as a common atrioventricular canal (CAVC), are clinically severe heart malformations that affect... -
Automated fabric defect detection using multi-scale fusion MemAE
Fabric defect detection (FDD) is an essential part of the textile industry. To replace manual visual inspection, computer-vision-based solutions has...
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A Survey of PCB Defect Detection Algorithms
Printed circuit boards (PCBs) are the first stage in manufacturing any electronic product. The reliability of the electronic product depends on the...
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Photovoltaic glass edge defect detection based on improved SqueezeNet
With the global energy shortage, countries all over the world are vigorously develo** new energy sources, and photovoltaic glass, as an important...
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Defect Detection Based on Improved YOLOx for Ultrasonic Images
Non-destructive testing is a method of detecting defects in materials or electronic components without causing damage to the detected objects. The...