M-3LAB / awesome-industrial-anomaly-detectionLinks
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)。
☆3,027Updated this week
Alternatives and similar repositories for awesome-industrial-anomaly-detection
Users that are interested in awesome-industrial-anomaly-detection are comparing it to the libraries listed below
Sorting:
- ☆1,067Updated last year
- [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models☆1,034Updated last year
- ☆562Updated last year
- An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimizat…☆5,150Updated last week
- 📈 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…☆3,841Updated last year
- Official implementation for AnomalyCLIP (ICLR 2024)☆510Updated 4 months ago
- Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"☆399Updated 9 months ago
- [ECCV 2024] Official Implementation and Dataset Release for "A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Ano…☆357Updated 4 months ago
- Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".☆828Updated 9 months ago
- [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …☆306Updated 10 months ago
- [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".☆379Updated last year
- ☆265Updated 2 years ago
- [AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model☆284Updated last year
- ☆1,120Updated last year
- 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 defe…☆72Updated 3 months ago
- Diversified and Multi-Class Controllable Industrial Defect Synthesis for Data Augmentation and Transfer☆16Updated 2 years ago
- Image anomaly detection benchmark in industrial manufacturing☆155Updated 9 months ago
- [NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection☆316Updated 3 years ago
- Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535☆370Updated 2 years ago
- [TPAMI] DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection☆203Updated last year
- [CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥…☆4,474Updated last week
- Anomaly Detection via Reverse Distillation from One-Class Embedding☆227Updated 2 years ago
- Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具☆1,875Updated last week
- Unofficial re-implementation of MemSeg for Anomaly Detection☆202Updated last year
- This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”…☆456Updated 2 years ago
- [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD☆255Updated 3 months ago
- [ICCV 2023] DETRs with Collaborative Hybrid Assignments Training☆1,313Updated 11 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆275Updated 4 months ago
- Official implementation of SuperSimpleNet [ICPR 2024, JIMS 2025]☆115Updated last month
- [AAAI 2023] Official implementation of "Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation".☆143Updated 11 months ago