A CAM-based weakly supervised method for surface defect inspection
Product surface defect detection is vital to ensure the quality, efficiency, and reliability of
industrial production. Deep-learning-based product surface defect inspection algorithms …
industrial production. Deep-learning-based product surface defect inspection algorithms …
A robust weakly supervised learning of deep Conv-Nets for surface defect inspection
H Chen, Q Hu, B Zhai, H Chen, K Liu - Neural Computing and Applications, 2020 - Springer
Automatic defect detection is a challenging task owing to the complex textured background
with non-uniform intensity distribution, weak differences between defects and background …
with non-uniform intensity distribution, weak differences between defects and background …
TAS2-Net: Triple-Attention Semantic Segmentation Network for Small Surface Defect Detection
T Liu, Z He - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Surface defect detection plays a vital role in manufacturing. However, it remains challenging:
1) small samples due to fewer defective products relative to numerous normal products and …
1) small samples due to fewer defective products relative to numerous normal products and …
Defect attention template generation cycleGAN for weakly supervised surface defect segmentation
Surface defect segmentation is very important for the quality inspection of industrial
production and is an important pattern recognition problem. Although deep learning (DL) …
production and is an important pattern recognition problem. Although deep learning (DL) …
Deep learning-based generic automatic surface defect inspection (ASDI) with pixelwise segmentation
Automatic surface defect inspection (ASDI) is a crucial and challenging problem in industry
because it affects the quality and efficiency of production greatly. Deep learning-based …
because it affects the quality and efficiency of production greatly. Deep learning-based …
MRD-net: An effective CNN-based segmentation network for surface defect detection
P Lu, J Jing, Y Huang - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Surface defect detection is a crucial component in industrial production. Many algorithms
based on computer vision have been successfully applied to surface defect detection, but …
based on computer vision have been successfully applied to surface defect detection, but …
Progressively learning dynamic level set for weakly supervised industrial defect segmentation
H Qi, X Kong, Z Shen, Z Liu, J Gu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With continuous advancements in sensor technology and computer vision, automated
surface defect detection has become an important problem in the modern manufacturing …
surface defect detection has become an important problem in the modern manufacturing …
Foreground–background separation transformer for weakly supervised surface defect detection
X Jiang, J Feng, F Yan, Y Lu, Q Fa, W Zhang… - Journal of Intelligent …, 2024 - Springer
In industrial scenarios, weakly supervised pixel-level defect detection methods leverage
image-level labels for training, significantly reducing the effort required for manual …
image-level labels for training, significantly reducing the effort required for manual …
Joint weakly and fully supervised learning for surface defect segmentation from images
B Hu, X Wang, W Yu - Signal Processing: Image Communication, 2022 - Elsevier
Surface defect segmentation from industrial images based on deep learning has been
rapidly developed in recent years. However, the related methods depend heavily on a large …
rapidly developed in recent years. However, the related methods depend heavily on a large …
Perturbed progressive learning for semisupervised defect segmentation
Recently, with the development of intelligent manufacturing, the demand for surface defect
inspection has been increasing. Deep learning has achieved promising results in defect …
inspection has been increasing. Deep learning has achieved promising results in defect …