FantasticGNU / UniVADLinks
[CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
☆144Updated 6 months ago
Alternatives and similar repositories for UniVAD
Users that are interested in UniVAD are comparing it to the libraries listed below
Sorting:
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆74Updated 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
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆96Updated 4 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆173Updated last year
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆191Updated 2 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- ☆54Updated last year
- DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation☆101Updated 4 months ago
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆65Updated last month
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆56Updated last month
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆60Updated 3 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆263Updated 3 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆48Updated 5 months ago
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆39Updated 3 months ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆161Updated 4 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated 11 months ago
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆82Updated 2 months ago
- Segmentation-based Anomaly Detector (SegAD)☆59Updated last month
- REB:Reducing Biases in Representation for Industrial Anomaly Detection☆27Updated last year
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆143Updated 5 months ago
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆197Updated 3 months ago
- ☆34Updated last year
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆58Updated 4 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆46Updated 3 months ago
- ☆58Updated 5 months ago
- [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …☆294Updated 8 months ago
- GeneralAD☆55Updated 9 months ago
- Official implementation of "Unseen Visual Anomaly Generation" (CVPR 2025)☆204Updated 3 months ago
- ☆33Updated 8 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆178Updated 6 months ago