Accurate reimplementation of WinCLIP (pytorch version)
☆139Dec 8, 2024Updated last year
Alternatives and similar repositories for Accurate-WinCLIP-pytorch
Users that are interested in Accurate-WinCLIP-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation for AnomalyCLIP (ICLR 2024)☆681Jul 8, 2025Updated last year
- ☆57Sep 7, 2023Updated 3 years ago
- [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".☆431Mar 16, 2024Updated 2 years ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆46Mar 5, 2024Updated 2 years ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆108Jun 4, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official implementation of PointAD (NeurIPS 2024)☆91May 29, 2025Updated last year
- [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD☆268Aug 1, 2025Updated last year
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆75Jul 17, 2025Updated last year
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆317Jul 7, 2025Updated last year
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆214Sep 1, 2024Updated 2 years ago
- [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …☆353Jan 29, 2025Updated last year
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆68Jul 25, 2023Updated 3 years ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆94Jun 2, 2026Updated 5 months ago
- ☆58Jul 3, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆89Jul 29, 2024Updated 2 years ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆275May 26, 2025Updated last year
- [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models☆1,150Dec 20, 2023Updated 2 years ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆36Dec 20, 2024Updated last year
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆203Sep 29, 2026Updated last month
- ☆66May 9, 2025Updated last year
- Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".☆841Feb 22, 2025Updated last year
- ☆134Jul 16, 2025Updated last year
- ☆48Oct 25, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [ICLR2024] This is an official PyTorch implementation for "MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutua…☆436Apr 25, 2026Updated 6 months ago
- Evaluation Tool for Anomaly Detection Research☆18May 9, 2024Updated 2 years ago
- Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"☆14Aug 13, 2023Updated 3 years ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆121Aug 6, 2024Updated 2 years ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Nov 10, 2024Updated last year
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆75Jun 23, 2025Updated last year
- Image anomaly detection benchmark in industrial manufacturing☆172Feb 20, 2025Updated last year
- BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license☆108Jun 9, 2025Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆222Mar 13, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]☆278Oct 23, 2026Updated last week
- GeneralAD☆58Dec 17, 2024Updated last year
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆97Feb 7, 2026Updated 8 months ago
- [BMVC 2026] Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection☆36Oct 27, 2026Updated last week
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆50Jul 18, 2024Updated 2 years ago
- Open-sourced codes, IAD vision-language datasets and pre-trained checkpoints for Myriad.☆99Jul 4, 2025Updated last year
- [NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection.☆106Dec 2, 2024Updated last year