caoyunkang / GPT4V-for-Generic-Anomaly-Detection
[Arxiv] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.
☆119Updated last year
Alternatives and similar repositories for GPT4V-for-Generic-Anomaly-Detection:
Users that are interested in GPT4V-for-Generic-Anomaly-Detection are comparing it to the libraries listed below
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆188Updated last month
- The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]☆69Updated 3 weeks ago
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆65Updated 3 weeks ago
- ☆73Updated 7 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆163Updated 5 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆90Updated 6 months ago
- Official implementation for AnomalyCLIP (ICLR 2024)☆334Updated 6 months ago
- Open-sourced codes, IAD vision-language datasets and pre-trained checkpoints for Myriad.☆74Updated 4 months ago
- [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD☆219Updated last year
- [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".☆293Updated 11 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆125Updated 5 months ago
- Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics (ECCV2024)☆113Updated 5 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆67Updated 4 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆83Updated 2 months ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆48Updated 10 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆85Updated 3 months ago
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆225Updated 3 weeks ago
- ☆49Updated 7 months ago
- [ECCV2022 Oral] Registration based Few-Shot Anomaly Detection☆290Updated 2 years ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆43Updated 3 months ago
- ☆48Updated last year
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆37Updated this week
- ☆71Updated 3 months ago
- ☆40Updated 6 months ago
- ☆179Updated 7 months ago
- [NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection☆277Updated 2 years ago
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆52Updated last year
- Segmentation-based Anomaly Detector (SegAD)☆48Updated 4 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆42Updated 9 months ago
- [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow☆61Updated last year