Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
☆67Jul 25, 2023Updated 2 years ago
Alternatives and similar repositories for patchcore-few-shot
Users that are interested in patchcore-few-shot are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Accurate reimplementation of WinCLIP (pytorch version)☆134Dec 8, 2024Updated last year
- ☆56Sep 7, 2023Updated 2 years ago
- [ECCV2022 Oral] Registration based Few-Shot Anomaly Detection☆319Sep 7, 2022Updated 3 years ago
- ☆46Oct 25, 2023Updated 2 years ago
- ☆26Sep 6, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆38Jun 17, 2024Updated last year
- [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".☆415Mar 16, 2024Updated 2 years ago
- [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD☆267Aug 1, 2025Updated 8 months ago
- Few-shot segmentation for industrail defect detection☆28Mar 26, 2023Updated 3 years ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆205Sep 1, 2024Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆84Oct 18, 2025Updated 6 months ago
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆87Feb 7, 2026Updated 2 months ago
- ☆1,255Jul 10, 2024Updated last year
- [CSCWD 2025, Best Student Paper] Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning☆29May 24, 2025Updated 11 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆304Jul 7, 2025Updated 9 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆48Jan 4, 2026Updated 3 months ago
- Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".☆840Feb 22, 2025Updated last year
- Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).☆49Mar 6, 2024Updated 2 years ago
- Technical Challenge Repository for Visual Anomaly Detection Workshop (VAND) at CVPR☆13Jul 21, 2025Updated 9 months ago
- Official implementation of TailedCore(CVPR25)☆31Jun 12, 2025Updated 10 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆36Dec 20, 2024Updated last year
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆205Dec 17, 2025Updated 4 months ago
- ☆25Jul 4, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆47Oct 31, 2024Updated last year
- Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"☆14Aug 13, 2023Updated 2 years ago
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆35Nov 22, 2024Updated last year
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆61Apr 22, 2025Updated last year
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆54Apr 20, 2024Updated 2 years ago
- ☆14Jan 12, 2026Updated 3 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆159Sep 1, 2025Updated 7 months ago
- ☆19Nov 21, 2023Updated 2 years ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆208Mar 13, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆28Oct 31, 2024Updated last year
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆201Jul 17, 2025Updated 9 months ago
- Official implementation for AnomalyCLIP (ICLR 2024)☆608Jul 8, 2025Updated 9 months ago
- Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection☆33Aug 9, 2025Updated 8 months ago
- [IJCV 2024] Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection☆24Jan 1, 2025Updated last year
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆45Aug 23, 2025Updated 8 months ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆26Jan 22, 2024Updated 2 years ago