shirowalker / UCADLinks
[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
☆104Updated last year
Alternatives and similar repositories for UCAD
Users that are interested in UCAD are comparing it to the libraries listed below
Sorting:
- ☆54Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆93Updated 3 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆118Updated 9 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆189Updated 2 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 6 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆38Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆73Updated last year
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆170Updated last year
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated 10 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆70Updated 10 months ago
- ☆55Updated 2 years ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆106Updated 3 weeks ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆59Updated 3 months ago
- ☆33Updated last year
- ☆58Updated 4 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆48Updated 5 months ago
- ☆87Updated last year
- GeneralAD☆55Updated 9 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆259Updated 2 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆134Updated 6 months ago
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆77Updated last year
- Segmentation-based Anomaly Detector (SegAD)☆59Updated last month
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆45Updated 3 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆44Updated last month
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆177Updated 6 months ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆47Updated 10 months ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆27Updated last year
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆62Updated 2 years ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆106Updated 4 months ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆51Updated last year