ristea / ssmctbLinks
☆60Updated last year
Alternatives and similar repositories for ssmctb
Users that are interested in ssmctb are comparing it to the libraries listed below
Sorting:
- Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.☆72Updated last year
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆80Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 8 months ago
- ☆89Updated 2 years ago
- [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.☆35Updated 2 years ago
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆36Updated last year
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- ☆30Updated 2 years ago
- Accurate reimplementation of WinCLIP (pytorch version)☆120Updated 11 months ago
- Official implementation of TailedCore(CVPR25)☆22Updated 5 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆185Updated 8 months ago
- ☆161Updated 2 years ago
- [KBS 2022] Informative knowledge distillation for image anomaly segmentation☆22Updated 3 years ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated last year
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆108Updated 6 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆109Updated last year
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated last year
- GeneralAD☆55Updated 11 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆35Updated last year
- ☆43Updated 2 years ago
- ☆55Updated 2 years ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆47Updated 5 months ago
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆91Updated 3 years ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆79Updated last month
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆39Updated 2 years ago
- ☆55Updated last year
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆39Updated last year
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆35Updated 11 months ago
- Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation☆41Updated 2 years ago
- Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".☆67Updated 2 years ago