honda-research-institute / Anomaly-OneVisionLinks
This is the official repository for our recent paper "Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models".
☆54Updated 2 months ago
Alternatives and similar repositories for Anomaly-OneVision
Users that are interested in Anomaly-OneVision are comparing it to the libraries listed below
Sorting:
- The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]☆141Updated last week
- ☆52Updated last year
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆235Updated last week
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆65Updated 8 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆106Updated 3 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆44Updated 2 months ago
- ☆77Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆66Updated 11 months ago
- ☆92Updated this week
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆86Updated last month
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆106Updated last month
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆103Updated 11 months ago
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆40Updated 5 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆156Updated 10 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆110Updated 7 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆89Updated 8 months ago
- ☆29Updated 5 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆32Updated 6 months ago
- ☆134Updated last week
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆67Updated 3 months ago
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆37Updated last month
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆279Updated 5 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆181Updated 10 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆47Updated last month
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆174Updated 4 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆77Updated 4 months ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆46Updated 8 months ago
- Paper list for industrial image anomaly synthesis methods.☆42Updated 4 months ago
- ☆51Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆47Updated last month