aodongli / zero-shot-ad-via-batch-normLinks
Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).
☆46Updated last year
Alternatives and similar repositories for zero-shot-ad-via-batch-norm
Users that are interested in zero-shot-ad-via-batch-norm are comparing it to the libraries listed below
Sorting:
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆77Updated last year
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆35Updated last year
- ☆46Updated last year
- [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection☆16Updated 10 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆177Updated 5 months ago
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆47Updated last year
- ☆30Updated last year
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆19Updated last year
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆33Updated 10 months ago
- Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023☆44Updated last year
- The official repository of Continuous Memory Representation for Anomaly Detection☆29Updated 9 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆68Updated 10 months ago
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆123Updated 3 years ago
- Official PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".☆17Updated last month
- Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.☆71Updated 10 months ago
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆72Updated last year
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆24Updated 10 months ago
- ☆58Updated last year
- ☆54Updated last year
- Accurate reimplementation of WinCLIP (pytorch version)☆118Updated 8 months ago
- Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection☆15Updated 6 months ago
- ☆13Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- ☆17Updated last year
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆89Updated 3 years ago
- Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)☆19Updated 4 years ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆49Updated last year
- Official implementation of TailedCore(CVPR25)☆20Updated 2 months ago
- ☆86Updated last year
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆28Updated 9 months ago