HUST-SLOW / AnomalyNCDLinks
[CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14379
☆84Updated 4 months ago
Alternatives and similar repositories for AnomalyNCD
Users that are interested in AnomalyNCD are comparing it to the libraries listed below
Sorting:
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆51Updated last month
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆163Updated last month
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆115Updated 4 months ago
- ☆52Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆120Updated 2 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆46Updated 3 months ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆27Updated last year
- ☆54Updated 3 months ago
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆41Updated this week
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆82Updated last month
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆89Updated 2 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆184Updated 3 weeks ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆39Updated this week
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆70Updated 3 months ago
- [ICLR2024] MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images. The original …☆14Updated last year
- This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…☆106Updated 9 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆113Updated 8 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆159Updated 11 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆245Updated last month
- ☆29Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆66Updated 9 months ago
- ☆98Updated 3 weeks ago
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆121Updated 3 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆77Updated 5 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆49Updated last month
- DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation☆81Updated 2 months ago
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆281Updated 6 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆68Updated last year
- Segmentation-based Anomaly Detector (SegAD)☆57Updated last week