niamhbelton / FewSOMELinks
☆17Updated last year
Alternatives and similar repositories for FewSOME
Users that are interested in FewSOME are comparing it to the libraries listed below
Sorting:
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆18Updated last month
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆71Updated last year
- ☆44Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆77Updated 4 months ago
- Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation☆41Updated 2 years ago
- Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).☆45Updated last year
- ☆82Updated last year
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆33Updated 9 months ago
- ☆29Updated last year
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆33Updated last week
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆35Updated 8 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆110Updated 7 months ago
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆19Updated last year
- [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.☆31Updated 2 years ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆47Updated last year
- PFM and PEFM for Image Anomaly Detection and Segmentation☆36Updated 2 years ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆47Updated last month
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆103Updated 11 months ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆118Updated 11 months ago
- ☆53Updated 2 months ago
- Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".☆60Updated 2 years ago
- ☆17Updated 2 years ago
- ☆29Updated last year
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆123Updated 3 years ago
- Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.☆72Updated 8 months ago
- ☆22Updated last year
- ☆110Updated 3 years ago
- [ECCV 2024] Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection☆15Updated 10 months ago
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆35Updated last year
- PatchCore method for Industrial Anomaly Detection + CLIP☆31Updated 10 months ago