Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Deep learning for automatic vision-based recognition of industrial surface defects: A survey
Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …
assessment for decades through the segmentation, detection, and classification of defects …
A survey of real-time surface defect inspection methods based on deep learning
In recent years, deep learning methods have been widely used in various industrial
scenarios, promoting industrial intelligence. Real-time surface defect inspection of industrial …
scenarios, promoting industrial intelligence. Real-time surface defect inspection of industrial …
Automated surface defect detection framework using machine vision and convolutional neural networks
Abstract Machine vision-based inspection technologies are gaining considerable
importance for automated monitoring and quality control of manufactured products in recent …
importance for automated monitoring and quality control of manufactured products in recent …
Few-shot steel surface defect detection
Deep learning-based algorithms have been widely employed to build reliable steel surface
defect detection systems, which are important for manufacturing. The performance of deep …
defect detection systems, which are important for manufacturing. The performance of deep …
Comparative assessment of common pre-trained CNNs for vision-based surface defect detection of machined components
Abstract Small and Medium Enterprises (SMEs) and Micro, Small, and Medium Enterprises
(MSMEs) contemplate integrating machine vision with high throughput manufacturing lines …
(MSMEs) contemplate integrating machine vision with high throughput manufacturing lines …
Synthetic data augmentation for surface defect detection and classification using deep learning
Deep learning techniques, especially Convolutional Neural Networks (CNN), dominate the
benchmarks for most computer vision tasks. These state-of-the-art results are typically …
benchmarks for most computer vision tasks. These state-of-the-art results are typically …
Efficient surface defect detection using self-supervised learning strategy and segmentation network
R Xu, R Hao, B Huang - Advanced Engineering Informatics, 2022 - Elsevier
Surface defect detection plays a crucial role in the production process to ensure product
quality. With the development of Industry 4.0 and smart manufacturing, traditional manual …
quality. With the development of Industry 4.0 and smart manufacturing, traditional manual …
Rail surface defect detection based on improved Mask R-CNN
H Wang, M Li, Z Wan - Computers and Electrical Engineering, 2022 - Elsevier
Rail surface defects are serious to the quality and safety of railroad system operation. Due to
the diversity and randomness of rail defects form, the detection of rail surface defects is a …
the diversity and randomness of rail defects form, the detection of rail surface defects is a …
FDD: a deep learning–based steel defect detectors
Surface defects are a common issue that affects product quality in the industrial
manufacturing process. Many companies put a lot of effort into develo** automated …
manufacturing process. Many companies put a lot of effort into develo** automated …
WSS-YOLO: An improved industrial defect detection network for steel surface defects
M Lu, W Sheng, Y Zou, Y Chen, Z Chen - Measurement, 2024 - Elsevier
Surface defects in steel manufacturing can compromise product quality and safety. Detecting
these diverse and complex defects under industrial conditions is challenging. This paper …
these diverse and complex defects under industrial conditions is challenging. This paper …