📈 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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Updated
May 27, 2024 - Python
📈 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.
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".
(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
This is an anomaly detection classification algorithm based on CNN based approach
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.
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
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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