YUL-git / GlocalCLIPLinks
Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'
☆28Updated 8 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)☆125Updated last year
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆56Updated 5 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆101Updated 6 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆78Updated last year
- ☆56Updated last year
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆40Updated last year
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆29Updated 7 months ago
- ☆56Updated 2 years ago
- The official implementation of “One-for-More: Continual Diffusion Model for Anomaly Detection” （CVPR2025)☆50Updated 7 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆191Updated last year
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆76Updated 6 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆82Updated last month
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆284Updated 5 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆196Updated 5 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 9 months ago
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆108Updated 4 months ago
- ☆26Updated 11 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆34Updated 11 months ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆204Updated 6 months ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆61Updated 5 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆45Updated 8 months ago
- GeneralAD☆56Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆63Updated last month
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆168Updated last month
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆199Updated last year
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆127Updated 3 months ago
- ☆34Updated last year
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆46Updated last year
- Official PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".☆26Updated 5 months ago