Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
☆841Feb 22, 2025Updated last year
Alternatives and similar repositories for Segment-Any-Anomaly
Users that are interested in Segment-Any-Anomaly are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".☆431Mar 16, 2024Updated 2 years ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆317Jul 7, 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
- [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models☆1,150Dec 20, 2023Updated 2 years ago
- Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。☆3,850Oct 23, 2026Updated last week
- 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.
- Official implementation for AnomalyCLIP (ICLR 2024)☆681Jul 8, 2025Updated last year
- ☆603Aug 12, 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
- Accurate reimplementation of WinCLIP (pytorch version)☆139Dec 8, 2024Updated last year
- [NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection☆331Nov 22, 2022Updated 3 years ago
- [CSCWD] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.☆130Mar 4, 2025Updated last year
- [ECCV2022 Oral] Registration based Few-Shot Anomaly Detection☆323Sep 7, 2022Updated 4 years ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆84Mar 5, 2025Updated last year
- An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimizat…☆6,357Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆68Jul 25, 2023Updated 3 years ago
- Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"☆427Feb 12, 2025Updated last year
- ☆1,433Jul 10, 2024Updated 2 years ago
- ☆57Sep 7, 2023Updated 3 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
- Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535☆454Aug 3, 2023Updated 3 years ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆100Jun 2, 2026Updated 5 months ago
- 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
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆222Mar 13, 2025Updated last year
- 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.
- Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)☆268Sep 22, 2022Updated 4 years ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆214Sep 1, 2024Updated 2 years ago
- [TPAMI] DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection☆225Jan 31, 2024Updated 2 years ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆75Jul 17, 2025Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆108Jun 4, 2025Updated last year
- 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
- Anomaly Detection via Reverse Distillation from One-Class Embedding☆257Jun 23, 2023Updated 3 years ago
- ☆203Jun 30, 2024Updated 2 years ago
- Image anomaly detection benchmark in industrial manufacturing☆172Feb 20, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Nov 10, 2024Updated last year
- [ICLR2024] This is an official PyTorch implementation for "MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutua…☆436Apr 25, 2026Updated 6 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆215Dec 6, 2024Updated last year
- ☆121Jul 14, 2022Updated 4 years ago
- [ECCV 2024] Official Implementation and Dataset Release for "A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Ano…☆400Mar 30, 2026Updated 7 months ago
- Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics (ECCV2024)☆139Aug 26, 2024Updated 2 years ago
- [NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection.☆106Dec 2, 2024Updated last year