ShuaiLYU / MVTec-FS
The MVTec-FS dataset is a refined version of the MVTec AD dataset, designed for few-shot learning research.
☆12Updated 2 months ago
Alternatives and similar repositories for MVTec-FS:
Users that are interested in MVTec-FS are comparing it to the libraries listed below
- Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)☆17Updated 2 months ago
- ☆25Updated 8 months ago
- ☆49Updated 8 months ago
- ☆24Updated last month
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆31Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆52Updated 4 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆29Updated 4 months ago
- ☆12Updated 8 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆24Updated 10 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆68Updated 4 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆94Updated 7 months ago
- ☆77Updated 2 weeks ago
- ☆16Updated 9 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆76Updated last week
- [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow☆62Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆57Updated 7 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆35Updated 4 months ago
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆39Updated 3 weeks ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆80Updated last month
- REB:Reducing Biases in Representation for Industrial Anomaly Detection☆24Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆38Updated 3 months ago
- ☆37Updated last year
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆43Updated 5 months ago
- GeneralAD☆48Updated 2 months ago
- Segmentation-based Anomaly Detector (SegAD)☆51Updated 5 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆42Updated 10 months ago
- ☆42Updated 2 weeks ago