zhangzjn / ADer
ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.
☆239Updated last month
Alternatives and similar repositories for ADer:
Users that are interested in ADer are comparing it to the libraries listed below
- Image anomaly detection benchmark in industrial manufacturing☆132Updated last month
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆135Updated 6 months ago
- This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…☆98Updated 4 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆171Updated 3 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆205Updated 3 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆161Updated 2 weeks ago
- ☆186Updated 8 months ago
- Official implementation for AnomalyCLIP (ICLR 2024)☆361Updated 7 months ago
- ☆171Updated last year
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆171Updated 6 months ago
- [AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model☆214Updated 7 months ago
- [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD☆224Updated last year
- Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"☆312Updated last month
- ☆91Updated last month
- Accurate reimplementation of WinCLIP (pytorch version)☆94Updated 3 months ago
- unofficial version of EfficientAD☆135Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆94Updated 7 months ago
- [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".☆306Updated last year
- ☆50Updated 8 months ago
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆44Updated 6 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆80Updated last week
- ☆80Updated last year
- [ECCV 2024] Official Implementation and Dataset Release for "A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Ano…☆251Updated last week
- ☆75Updated 8 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆40Updated 4 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆85Updated 4 months ago
- (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection☆136Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆76Updated 3 weeks ago
- Anomaly Detection via Reverse Distillation from One-Class Embedding☆199Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆73Updated 5 months ago