xcyao00 / FODLinks
[ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
☆48Updated last year
Alternatives and similar repositories for FOD
Users that are interested in FOD are comparing it to the libraries listed below
Sorting:
- ☆55Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 7 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆107Updated last year
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆47Updated 4 months ago
- GeneralAD☆55Updated 10 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated last year
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated 11 months ago
- ☆54Updated 2 years ago
- ☆30Updated 2 years ago
- ☆89Updated last year
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆27Updated last year
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆51Updated last year
- ☆42Updated 2 years ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆59Updated 3 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆99Updated 4 months ago
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆80Updated last year
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆39Updated last year
- ☆58Updated 5 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆152Updated last week
- Accurate reimplementation of WinCLIP (pytorch version)☆119Updated 10 months ago
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆36Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆74Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆43Updated 6 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆77Updated last week
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆24Updated last year
- MoEAD is a parameter efficient model for multi class anomaly detection☆32Updated 10 months ago
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆63Updated 2 years ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆53Updated 2 years ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆60Updated last week
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year