TencentYoutuResearch / AnomalyDetection-SoftPatchLinks
Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
☆83Updated last year
Alternatives and similar repositories for AnomalyDetection-SoftPatch
Users that are interested in AnomalyDetection-SoftPatch are comparing it to the libraries listed below
Sorting:
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆81Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 10 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆67Updated 2 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆133Updated 4 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆91Updated last year
- ☆24Updated 2 years ago
- ☆61Updated 8 months ago
- ☆90Updated 2 years ago
- ☆56Updated last year
- Accurate reimplementation of WinCLIP (pytorch version)☆130Updated last year
- Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".☆71Updated 2 years ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆26Updated last year
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆80Updated 4 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆201Updated 10 months ago
- ☆203Updated last year
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆112Updated 8 months ago
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆63Updated 2 years ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆204Updated last year
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆174Updated 3 months ago
- ☆54Updated 3 years ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆46Updated last year
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆195Updated last year
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆46Updated 2 weeks ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆59Updated 2 years ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆54Updated 5 months ago
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆123Updated 5 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆199Updated 6 months ago
- PFM and PEFM for Image Anomaly Detection and Segmentation☆37Updated 2 years ago