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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Updated
Jun 14, 2016 - Python
An implementation of Zhang and Sclaroff's Boolean Map Saliency algorithm. http://cs-people.bu.edu/jmzhang/BMS/BMS_iccv13_preprint.pdf.
Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
This project detects the rusted area of a metal surface using image processing algorithm
This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"
This is an anomaly detection classification algorithm based on CNN based approach
(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"
My code for Tianchi competition(Al surface detect detection). My final rank is 10/2972.
An Image classifier using CNN to detect defects on meta surface.
The core code of AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection
The re-labeled NRSD-MN dataset, AMFF-YOLOX source code and paper "AMFF-YOLOX: Towards an Attention Mechanism and Multiple Feature Fusion Based on YOLOX for Industrial Defect Detection".
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
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