gaobb / MetaUASLinks
[NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
☆36Updated last week
Alternatives and similar repositories for MetaUAS
Users that are interested in MetaUAS are comparing it to the libraries listed below
Sorting:
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆47Updated 6 months ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆25Updated last year
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆40Updated 7 months ago
- [TASE 2024] AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization☆24Updated 3 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆58Updated 2 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆39Updated last month
- Segmentation-based Anomaly Detector (SegAD)☆53Updated 2 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆76Updated 3 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆42Updated last year
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆56Updated 2 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆29Updated 5 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆38Updated last month
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆83Updated 7 months ago
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆58Updated 2 weeks ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆61Updated 7 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆99Updated 10 months ago
- ☆18Updated 5 months ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆46Updated 7 months ago
- ☆50Updated 11 months ago
- ☆29Updated 4 months ago
- GeneralAD☆53Updated 5 months ago
- ☆111Updated 2 months ago
- ☆48Updated 3 weeks ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆54Updated last year
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆46Updated last year
- Official implementation of the paper "CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection."☆45Updated 5 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆25Updated last month
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆35Updated 6 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆101Updated 5 months ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆15Updated 3 weeks ago