YUL-git / GlocalCLIPLinks
Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'
☆25Updated 4 months ago
Alternatives and similar repositories for GlocalCLIP
Users that are interested in GlocalCLIP are comparing it to the libraries listed below
Sorting:
- Accurate reimplementation of WinCLIP (pytorch version)☆113Updated 8 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆89Updated 2 months ago
- Official PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".☆16Updated 3 weeks ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆120Updated 2 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 “One-for-More: Continual Diffusion Model for Anomaly Detection” （CVPR2025)☆32Updated 3 months ago
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆26Updated last month
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆38Updated last year
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆245Updated last month
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆159Updated 11 months ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆19Updated 3 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆66Updated 9 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
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆23Updated 9 months ago
- ☆52Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆77Updated 5 months ago
- Official implementation of TailedCore(CVPR25)☆19Updated last month
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆41Updated this week
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆46Updated 3 months ago
- ☆22Updated 7 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆177Updated 4 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
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆42Updated 2 months ago
- GeneralAD☆54Updated 7 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆184Updated 8 months ago
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆25Updated 8 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆51Updated last month
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆38Updated 4 months ago
- ☆29Updated last year