SimonThomine / RememberingNormalityLinks
Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
☆19Updated 3 months ago
Alternatives and similar repositories for RememberingNormality
Users that are interested in RememberingNormality are comparing it to the libraries listed below
Sorting:
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆60Updated 3 months ago
- ☆34Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 7 months ago
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆79Updated last year
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆112Updated last month
- ☆30Updated last year
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated 11 months ago
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- ☆58Updated 5 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆39Updated last year
- REB:Reducing Biases in Representation for Industrial Anomaly Detection☆27Updated last year
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆46Updated 3 months ago
- ☆88Updated last year
- Accurate reimplementation of WinCLIP (pytorch version)☆118Updated 10 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆43Updated 2 months ago
- [ECCV 2024] Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection☆16Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆178Updated 6 months ago
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆49Updated last year
- MoEAD is a parameter efficient model for multi class anomaly detection☆32Updated 9 months ago
- ☆54Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆73Updated 11 months ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆52Updated 2 years ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆98Updated 4 months ago
- [ICCV 2025] SALAD -- Semantics-Aware Logical Anomaly Detection☆18Updated last week
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆192Updated 10 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated 11 months ago
- ☆55Updated 2 years ago
- [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.☆33Updated 2 years ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆106Updated 4 months ago