NarcissusEx / HETMM
[IJCV 2024] Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection
☆16Updated 3 months ago
Alternatives and similar repositories for HETMM:
Users that are interested in HETMM are comparing it to the libraries listed below
- ☆45Updated 2 months ago
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆57Updated last year
- ☆28Updated 10 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆46Updated last month
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆77Updated last month
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆47Updated 3 weeks ago
- ☆39Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆42Updated 5 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆39Updated this week
- ☆30Updated 2 months ago
- ☆16Updated last year
- REB:Reducing Biases in Representation for Industrial Anomaly Detection☆24Updated last year
- ☆50Updated 9 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆78Updated 6 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆35Updated 5 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆43Updated 11 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆34Updated 5 months ago
- [TCSVT 2024] Official Implementation for "Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection"☆15Updated 2 months ago
- ☆29Updated last year
- ☆17Updated 10 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆97Updated 8 months ago
- OnlineDemo☆21Updated 3 weeks ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆35Updated last year
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆21Updated this week
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆56Updated last week
- ☆104Updated 3 weeks ago
- ☆23Updated last year
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆83Updated 3 weeks ago
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆39Updated 2 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆63Updated 8 months ago