Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

This repository contains various QA test cases and reports for bugs and defects identified across multiple websites. The aim of this project is to showcase the testing process, tools used, and detailed documentation of the bugs and defects found.

[ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection

Detection of welding defects with AI (YOLO11)

[ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection

This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.

[ICSE 2024 Industry Challenge Track] Official implementation of "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".

Eddy current for 3D imaging of defects in metal structures with extremely few measurements

本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势，无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.

Magnetic tile surface defect detection, NHA12D road/pavement crack detection

A user-friendly web application for detecting defects on painted surfaces using live webcam input and image uploads.

Machine Learning for unsupervised & single-shot quality inspection & defect-detection on the assembly line.

Imaging system for analyzing defects of semiconductor wafers and chips

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

Multi-model object detection system based on YOLOv8.

Computer Vision: Defect Detection | Summer 2022

Classification of automotive parts as defective and non-defective with transfer learning.

Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (TIM) 2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].