(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
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Updated
Jun 19, 2019 - Python
(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
Exploiting surroundedness for saliency detection: a boolean map approach
Automated On-line Fast Detection for Surface Defect of Steel Strip Based on Multivariate Discriminant Function
My code for Tianchi competition(Al surface detect detection). My final rank is 10/2972.
Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"
This project detects the rusted area of a metal surface using image processing algorithm
This is an anomaly detection classification algorithm based on CNN based approach
An Image classifier using CNN to detect defects on meta surface.
An implementation of Zhang and Sclaroff's Boolean Map Saliency algorithm. http://cs-people.bu.edu/jmzhang/BMS/BMS_iccv13_preprint.pdf.
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