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:
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆37Updated last year
- Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023☆46Updated last year
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆79Updated last year
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆49Updated last year
- ☆30Updated last year
- [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection☆16Updated 11 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆178Updated 6 months ago
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆24Updated 11 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆73Updated 11 months ago
- Official implementation of TailedCore(CVPR25)☆20Updated 3 months ago
- Official PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".☆19Updated 2 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆118Updated 10 months ago
- ☆59Updated last year
- ☆42Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- ☆17Updated last year
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆35Updated 11 months ago
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆20Updated last year
- Uniformaly: Towards Task-Agnostic Unified Anomaly Detection☆13Updated 2 years ago
- ☆55Updated 2 years ago
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆125Updated 3 years ago
- The official repository of Continuous Memory Representation for Anomaly Detection☆29Updated 10 months ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆52Updated 2 years ago
- GeneralAD☆55Updated 9 months ago
- PatchCore method for Industrial Anomaly Detection + CLIP☆38Updated last year
- Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.☆71Updated 11 months ago
- ☆23Updated 2 years ago
- ☆13Updated last year
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated 11 months ago