Sunny5250 / Awesome-Multi-Setting-UIADLinks
A taxonomy of industrial anomaly detection methods and datasets (updating).
☆92Updated 2 weeks ago
Alternatives and similar repositories for Awesome-Multi-Setting-UIAD
Users that are interested in Awesome-Multi-Setting-UIAD are comparing it to the libraries listed below
Sorting:
- ☆86Updated 11 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆102Updated 5 months ago
- Image anomaly detection benchmark in industrial manufacturing☆139Updated 3 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆100Updated 10 months ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆46Updated last year
- Official implementation of PointAD (NeurIPS 2024)☆58Updated last week
- Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation☆38Updated last year
- ☆111Updated 2 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆66Updated 10 months ago
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆262Updated 4 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆170Updated 2 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆76Updated 3 months ago
- ☆50Updated 11 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆83Updated 7 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆149Updated 9 months ago
- ☆54Updated last year
- ☆51Updated last year
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆38Updated last year
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆177Updated 9 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆61Updated 7 months ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆54Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆47Updated 6 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆224Updated 5 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆56Updated 2 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆29Updated 5 months ago
- [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow☆62Updated last year
- ☆177Updated last year
- Paper list for industrial image anomaly synthesis methods.☆42Updated 3 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆40Updated 7 months ago
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆122Updated this week