aodongli / zero-shot-ad-via-batch-normLinks
Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).
☆48Updated 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:
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆39Updated 2 years ago
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆39Updated last year
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆52Updated last year
- Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023☆46Updated last year
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆80Updated last year
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆22Updated 2 years ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆188Updated 8 months ago
- [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection☆16Updated last year
- ☆18Updated 2 years ago
- ☆30Updated 2 years ago
- Uniformaly: Towards Task-Agnostic Unified Anomaly Detection☆13Updated 2 years ago
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆127Updated 3 years ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆82Updated last month
- ☆56Updated 2 years ago
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆80Updated last year
- Accurate reimplementation of WinCLIP (pytorch version)☆123Updated last year
- Official implementation of TailedCore(CVPR25)☆23Updated 6 months ago
- The official repository of Continuous Memory Representation for Anomaly Detection☆31Updated last year
- Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.☆71Updated last year
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆25Updated last year
- ☆23Updated 2 years ago
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆20Updated 5 months ago
- [IEEE-TIP R2]Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection☆15Updated 2 months ago
- ☆43Updated 2 years ago
- ICCV 2025 Code for "Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection"☆11Updated 2 weeks ago
- ☆60Updated 2 years ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆111Updated last year
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆91Updated 3 years ago
- ☆89Updated 2 years ago