RuiyingLu / HVQ-TransLinks
Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023
☆47Updated last year
Alternatives and similar repositories for HVQ-Trans
Users that are interested in HVQ-Trans are comparing it to the libraries listed below
Sorting:
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆27Updated last year
- GeneralAD☆57Updated last year
- [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection☆15Updated last year
- The official repository of Continuous Memory Representation for Anomaly Detection☆32Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆199Updated 9 months ago
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆48Updated last year
- ☆32Updated 2 years ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆82Updated 2 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆54Updated 5 months ago
- ☆56Updated last year
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆39Updated last year
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆81Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆45Updated 9 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆102Updated 7 months ago
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆83Updated last year
- The official implementation of “One-for-More: Continual Diffusion Model for Anomaly Detection” （CVPR2025)☆52Updated 8 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆113Updated 7 months ago
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆52Updated last year
- Official implementation of TailedCore(CVPR25)☆24Updated 7 months ago
- Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).☆49Updated last year
- ☆36Updated last year
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆32Updated 8 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆35Updated last year
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆40Updated last year
- ☆24Updated 2 years ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆79Updated last year
- ☆11Updated last year
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆39Updated 2 years ago
- Evaluation Tool for Anomaly Detection Research☆17Updated last year