zhang0jhon / LogSADLinks
[CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models
☆65Updated 5 months ago
Alternatives and similar repositories for LogSAD
Users that are interested in LogSAD are comparing it to the libraries listed below
Sorting:
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆99Updated 4 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆74Updated last year
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆50Updated 6 months ago
- ☆55Updated last year
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆44Updated 4 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆107Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆77Updated last week
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆152Updated last week
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆272Updated 3 months ago
- ☆54Updated 2 years ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆39Updated last year
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆118Updated last month
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆43Updated 6 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆32Updated 10 months ago
- ☆33Updated 9 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆56Updated last month
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆91Updated 2 months ago
- GeneralAD☆55Updated 10 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆119Updated 10 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆179Updated last year
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆44Updated 2 months ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆177Updated 5 months ago
- This is the official repository for our recent paper "Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Mo…☆102Updated 6 months ago
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆42Updated 8 months ago
- ☆34Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 7 months ago
- ☆80Updated last year
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆26Updated 5 months ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆48Updated 11 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