RuiyingLu / HVQ-Trans
Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023
☆36Updated 10 months ago
Alternatives and similar repositories for HVQ-Trans:
Users that are interested in HVQ-Trans are comparing it to the libraries listed below
- [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection☆16Updated 3 months ago
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆17Updated 3 months ago
- GeneralAD☆49Updated 2 months ago
- Evaluation Tool for Anomaly Detection Research☆14Updated 9 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆48Updated 3 months ago
- ☆27Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆148Updated 4 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆83Updated 2 months ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆43Updated 3 months ago
- ☆71Updated 3 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆66Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆67Updated 4 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆90Updated 6 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆75Updated 3 weeks ago
- The official repository of Continuous Memory Representation for Anomaly Detection☆27Updated 2 months ago
- ☆49Updated last year
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆64Updated 11 months ago
- ☆38Updated 7 months ago
- ☆37Updated last year
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆53Updated 7 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆22Updated 9 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆30Updated 11 months ago
- ☆49Updated 7 months ago
- ☆72Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆53Updated 6 months ago
- ☆27Updated 3 months ago
- A Dataset and Benchmark for Multi-Sensor Anomaly Detection☆23Updated last month
- ☆48Updated last year
- The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]☆69Updated 3 weeks ago