huzongxiang / sowaLinks
☆22Updated 5 months ago
Alternatives and similar repositories for sowa
Users that are interested in sowa are comparing it to the libraries listed below
Sorting:
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆122Updated this week
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆100Updated 10 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆66Updated 10 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆83Updated 7 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆65Updated 2 months ago
- Open-sourced codes, IAD vision-language datasets and pre-trained checkpoints for Myriad.☆84Updated 8 months ago
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆60Updated 2 weeks ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆224Updated 5 months ago
- ☆50Updated 11 months ago
- ☆86Updated 11 months ago
- A taxonomy of industrial anomaly detection methods and datasets (updating).☆92Updated 2 weeks ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆75Updated last week
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆54Updated last year
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆40Updated 7 months ago
- The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]☆128Updated last week
- ☆112Updated 2 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆177Updated 9 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆102Updated 6 months ago
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆59Updated last month
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆262Updated 4 months ago
- ☆29Updated 4 months ago
- This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…☆104Updated 7 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆149Updated 9 months ago
- Segmentation-based Anomaly Detector (SegAD)☆53Updated 2 months ago
- ☆49Updated 3 weeks ago
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆102Updated last month
- MoEAD is a parameter efficient model for multi class anomaly detection☆29Updated 5 months ago
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆36Updated last week
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆56Updated 2 months ago
- ☆51Updated last year