HUST-SLOW / AnomalyNCDLinks
[CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14379
☆133Updated 4 months ago
Alternatives and similar repositories for AnomalyNCD
Users that are interested in AnomalyNCD are comparing it to the libraries listed below
Sorting:
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆123Updated 5 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆174Updated 3 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆67Updated 2 months ago
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆257Updated 6 months ago
- ☆61Updated 8 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆195Updated last year
- DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation☆129Updated 7 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆102Updated 7 months ago
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆80Updated 4 months ago
- ☆37Updated last year
- This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…☆113Updated last year
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆54Updated 5 months ago
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆60Updated 6 months ago
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆119Updated 5 months ago
- ☆56Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆79Updated last year
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆56Updated 8 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆65Updated 4 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆290Updated 6 months ago
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆182Updated last month
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆112Updated 8 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆91Updated last year
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆217Updated 7 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆199Updated 6 months ago
- [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …☆322Updated 11 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆204Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 10 months ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆26Updated last year
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆81Updated 8 months ago