ShuaiLYU / REBLinks
REB：Reducing Biases in Representation for Industrial Anomaly Detection
☆26Updated last year
Alternatives and similar repositories for REB
Users that are interested in REB are comparing it to the libraries listed below
Sorting:
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆46Updated 6 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 9 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated last year
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆42Updated 4 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆130Updated 3 months ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆57Updated 2 years ago
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆63Updated 2 years ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆171Updated 2 months ago
- PFM and PEFM for Image Anomaly Detection and Segmentation☆37Updated 2 years ago
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆82Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆45Updated 8 months ago
- ☆56Updated last year
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆111Updated 4 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆79Updated last year
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆46Updated last year
- ☆56Updated 2 years ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆91Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆64Updated 2 months ago
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆39Updated last year
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆57Updated 6 months ago
- ☆36Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆102Updated 6 months ago
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆78Updated 3 months ago
- ☆53Updated 3 years ago
- ☆32Updated 2 years ago
- ☆24Updated 2 years ago
- [ICLR2024] MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images. The original …☆14Updated last year
- ☆89Updated 2 years ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆40Updated last year