luow23 / INP-FormerLinks
[CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”
☆116Updated last month
Alternatives and similar repositories for INP-Former
Users that are interested in INP-Former are comparing it to the libraries listed below
Sorting:
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆58Updated last month
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆58Updated 2 weeks ago
- ☆111Updated 2 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
- ☆50Updated 11 months ago
- 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
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆58Updated 2 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆99Updated 10 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆149Updated 9 months ago
- unofficial version of EfficientAD☆139Updated last year
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆56Updated 2 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆87Updated 3 weeks ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆47Updated 6 months ago
- ☆48Updated 3 weeks ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆76Updated 3 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆170Updated 2 months ago
- ☆189Updated 11 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆224Updated 5 months ago
- [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow☆62Updated last year
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆102Updated last month
- The implement for paper : "A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation…☆75Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆66Updated 10 months ago
- Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"☆341Updated 3 months ago
- ☆86Updated 11 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆89Updated 7 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆83Updated 7 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆39Updated last month
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆177Updated 9 months ago
- Segmentation-based Anomaly Detector (SegAD)☆53Updated 2 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆179Updated 6 months ago