tae-mo / CRAD
The official repository of Continuous Memory Representation for Anomaly Detection
☆26Updated last month
Alternatives and similar repositories for CRAD:
Users that are interested in CRAD are comparing it to the libraries listed below
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆15Updated 8 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆66Updated last year
- ☆65Updated 2 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆47Updated 2 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆82Updated last month
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆35Updated 2 months ago
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆48Updated 6 months ago
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆27Updated 3 months ago
- ☆23Updated last year
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆64Updated 10 months ago
- ☆22Updated 7 months ago
- Uniformaly: Towards Task-Agnostic Unified Anomaly Detection☆13Updated last year
- ☆42Updated 7 months ago
- AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization (TASE 2024)☆19Updated last month
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆142Updated 3 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆67Updated this week
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆33Updated last month
- ☆12Updated 6 months ago
- REB:Reducing Biases in Representation for Industrial Anomaly Detection☆23Updated 11 months ago
- ☆27Updated last year
- ☆38Updated 6 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆29Updated 10 months ago
- A Dataset and Benchmark for Multi-Sensor Anomaly Detection☆22Updated this week
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆25Updated last week
- Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation☆34Updated 11 months ago
- ☆16Updated 7 months ago
- GeneralAD☆47Updated last month
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆17Updated 2 months ago
- Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".☆53Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆62Updated 3 months ago