HUST-SLOW / AnomalyNCD
[arXiv:2410.14379] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14379
☆20Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for AnomalyNCD
- [ICLR2024] MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images (The original …☆9Updated 5 months ago
- [arXiv:2410.14987] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at http…☆17Updated 5 months ago
- ☆53Updated 3 weeks ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆20Updated 10 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆51Updated last month
- ☆47Updated 4 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆52Updated 4 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆75Updated 3 months ago
- [TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆63Updated last year
- Segmentation-based Anomaly Detector (SegAD)☆43Updated last month
- ☆13Updated 4 months ago
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆58Updated 8 months ago
- ☆68Updated 6 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆125Updated last month
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆78Updated 3 weeks ago
- Accurate reimplementation of WinCLIP (pytorch version)☆77Updated 3 months ago
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆31Updated last month
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆99Updated 2 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆34Updated last week
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆40Updated 6 months ago
- Evaluation Tool for Anomaly Detection Research☆12Updated 6 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆131Updated 2 months ago
- [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow☆56Updated last year
- Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".☆50Updated last year
- AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆31Updated last month
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆142Updated 6 months ago
- ☆11Updated 5 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆24Updated last month
- Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation☆31Updated 9 months ago
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆47Updated last year