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by Z Zhao2018Cited by 37 — First, it uses the reconstruction error of the middle layers to complete a repair module without knowing the location of the defect in advance.
Surface defect detection and classification based on machine vision can greatly improve the efficiency of industrial production. With enough labeled.
Download Citation | A Surface Defect Detection Method Based on Positive Samples: 15th Pacific Rim International Conference on Artificial Intelligence, ...
In the training process of the algorithm, only positive samples are needed, no defective samples and manual labels are required. This paper uses fabric images ...
by F Zhou2019Cited by 16 — The training process of the proposed method is characterized by a small sample, end-to-end, and is weakly-supervised. Furthermore, experiments ...
by Y Li2018Cited by 99 — Then, a detection method for surface defects was proposed based ... During the training, the IoU of the positive sample fell in (0.5, 1), ...
Surface defect detection and classification based on machine vision can greatly improve the efficiency of industrial production. With enough labeled images, ...
Compared with the more than 14 million sample data in the ImageNet dataset, ... In addition, the surface defect detection method based on the twin network ...
It is inspire by the paper "A Surface Defect Detection Method Based on Positive Samples". We Got the 5th place in the preliminary contest of National campus ...
by H Chen2020 — The detection of surface defects of smartphone protection screens based on the ... All positive samples of training set, point defect samples.

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