CVL-hub / KAG-promptLinks
☆26Updated last year
Alternatives and similar repositories for KAG-prompt
Users that are interested in KAG-prompt are comparing it to the libraries listed below
Sorting:
- Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)☆36Updated 5 months ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆33Updated 8 months ago
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆61Updated 7 months ago
- Official implementation of TailedCore(CVPR25)☆25Updated 7 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆83Updated 3 months ago
- Official implementation of PointAD (NeurIPS 2024)☆73Updated 7 months ago
- ☆38Updated 11 months ago
- This is the official repository for our recent paper "Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Mo…☆128Updated 8 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆102Updated 7 months ago
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆36Updated last year
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆41Updated last year
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆56Updated 9 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- ☆56Updated last year
- Accurate reimplementation of WinCLIP (pytorch version)☆131Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆201Updated 10 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆80Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆45Updated 9 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆176Updated 3 months ago
- ☆56Updated 2 years ago
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆35Updated 8 months ago
- Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties(CVPR'25)☆77Updated 10 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆35Updated last year
- ☆16Updated 7 months ago
- Normal-Abnormal Guided Generalist Anomaly Detection (NeurIPS 2025)☆70Updated 2 months ago
- Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'☆28Updated 10 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆69Updated last week
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆28Updated last year
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆48Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 10 months ago