ristea / ssmctbLinks
☆61Updated 2 years ago
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.☆71Updated last year
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆82Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆81Updated 11 months ago
- ☆91Updated 2 years ago
- [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.☆38Updated 2 years ago
- ☆162Updated 2 years ago
- Accurate reimplementation of WinCLIP (pytorch version)☆132Updated last year
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆40Updated last year
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆112Updated 8 months ago
- Official implementation of TailedCore(CVPR25)☆24Updated 7 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆41Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".☆72Updated 2 years ago
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆49Updated last year
- ☆32Updated 2 years ago
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆39Updated 2 years ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆202Updated 10 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆37Updated last year
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆92Updated last year
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated last year
- ☆26Updated 3 years ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆83Updated 3 months ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆37Updated 9 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
- [KBS 2022] Informative knowledge distillation for image anomaly segmentation☆22Updated 3 years ago
- ☆44Updated 2 years ago
- (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection☆160Updated 2 years ago
- ☆56Updated last year
- Anomaly Detection via Reverse Distillation from One-Class Embedding☆240Updated 2 years ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆46Updated last year