Mwxinnn / AA-CLIP
The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
☆18Updated last week
Alternatives and similar repositories for AA-CLIP:
Users that are interested in AA-CLIP are comparing it to the libraries listed below
- Official implementation of TailedCore(CVPR25)☆14Updated this week
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆74Updated 5 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆33Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆96Updated 8 months ago
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆20Updated 5 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆61Updated 8 months ago
- ☆50Updated last year
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆16Updated 10 months ago
- ☆75Updated last year
- Official implementation of "MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection (MICCAI 2024 Early Accept)"☆63Updated 10 months ago
- ☆39Updated 8 months ago
- ☆26Updated 9 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆96Updated 4 months ago
- BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license☆64Updated 11 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆25Updated 11 months ago
- ☆17Updated 4 months ago
- ☆40Updated 10 months ago
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆23Updated 4 months ago
- ☆38Updated last year
- GeneralAD☆50Updated 3 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆24Updated 3 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆57Updated 5 months ago
- Official PyTorch implementation of "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".☆12Updated 5 months ago
- ☆11Updated 5 months ago
- ☆29Updated 2 months ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆49Updated last year
- ☆27Updated last year
- ☆50Updated 9 months ago
- The official implementation of “One-for-More: Continual Diffusion Model for Anomaly Detection” （CVPR2025)☆12Updated 3 weeks ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆38Updated 3 months ago