Accurate reimplementation of WinCLIP (pytorch version)
☆136Dec 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:
- ☆56Sep 7, 2023Updated 2 years ago
- [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".☆419Mar 16, 2024Updated 2 years ago
- Official implementation for AnomalyCLIP (ICLR 2024)☆619Jul 8, 2025Updated 10 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆104Jun 4, 2025Updated 11 months ago
- Official implementation of PointAD (NeurIPS 2024)☆87May 29, 2025Updated 11 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆71Jul 17, 2025Updated 10 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆45Mar 5, 2024Updated 2 years ago
- [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD☆268Aug 1, 2025Updated 9 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆304Jul 7, 2025Updated 10 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆207Sep 1, 2024Updated last year
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆68Jul 25, 2023Updated 2 years ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆86Jul 29, 2024Updated last year
- ☆58Jul 3, 2024Updated last year
- MoEAD is a parameter efficient model for multi class anomaly detection☆37Dec 20, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …☆340Jan 29, 2025Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆87Oct 18, 2025Updated 7 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆202Jul 17, 2025Updated 10 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆114Aug 6, 2024Updated last year
- Image anomaly detection benchmark in industrial manufacturing☆170Feb 20, 2025Updated last year
- ☆46Oct 25, 2023Updated 2 years ago
- Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".☆842Feb 22, 2025Updated last year
- [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models☆1,108Dec 20, 2023Updated 2 years ago
- ☆120Jul 16, 2025Updated 10 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Official implmentation of AAAI'23 paper 'Detecting Multivariate Time Series Anomalies with Zero Known Label'.☆77Jul 26, 2024Updated last year
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆207Oct 20, 2025Updated 7 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Nov 10, 2024Updated last year
- ☆62May 9, 2025Updated last year
- This is an official PyTorch implementation for "MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring o…☆436Apr 25, 2026Updated last month
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆211Dec 17, 2025Updated 5 months ago
- Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"☆14Aug 13, 2023Updated 2 years ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆262May 26, 2025Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆213Mar 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 official repository of Continuous Memory Representation for Anomaly Detection☆34Nov 27, 2024Updated last year
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆61Apr 22, 2025Updated last year
- GeneralAD☆58Dec 17, 2024Updated last year
- The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]☆256Jan 14, 2026Updated 4 months ago
- The Official Implementation for "Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark"☆24Apr 5, 2026Updated last month
- Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'☆31Mar 19, 2025Updated last year
- [CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first …☆461Updated this week