Exploiting surroundedness for saliency detection: a boolean map approach

导光板缺陷检测(a simple mura detect project)

（最先进的缺陷检测网络） A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

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"

My code for Tianchi competition(Al surface detect detection). My final rank is 10/2972.

基于PSPNet101的钢铁分割实验

基于DCN（Faster R-CNN,RFCN的钢铁检测实验）

Automated On-line Fast Detection for Surface Defect of Steel Strip Based on Multivariate Discriminant Function

基于Deeplabv3+的钢铁分割实验

钢铁黑色金属数据集

基于DeconvNet的钢铁分割实验

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

Ming-Ming Cheng's open source projects

halocon芯片缺陷检测

基于SegNet的钢铁分割实验

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.