zhangzilongc / SOFSLinks
☆29Updated 5 months ago
Alternatives and similar repositories for SOFS
Users that are interested in SOFS are comparing it to the libraries listed below
Sorting:
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆43Updated 2 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆65Updated 8 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆47Updated last month
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆86Updated last month
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆18Updated 2 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆101Updated 11 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆103Updated 3 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆66Updated 11 months ago
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆25Updated last month
- Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)☆24Updated 6 months ago
- ☆52Updated last year
- GeneralAD☆55Updated 6 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆67Updated 3 months ago
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆45Updated last month
- ☆134Updated last week
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆38Updated 3 months ago
- ☆29Updated last year
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆21Updated 3 weeks ago
- ☆21Updated 6 months ago
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆24Updated 7 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆38Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆77Updated 4 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆155Updated 10 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆47Updated last month
- ☆77Updated last year
- Segmentation-based Anomaly Detector (SegAD)☆57Updated 3 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆235Updated last week
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆33Updated last week
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆27Updated last year
- MoEAD is a parameter efficient model for multi class anomaly detection☆31Updated 6 months ago