HUST-SLOW / SeaSLinks
[ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxiv.org/abs/2410.14987
☆82Updated 2 months ago
Alternatives and similar repositories for SeaS
Users that are interested in SeaS are comparing it to the libraries listed below
Sorting:
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆113Updated last month
- Segmentation-based Anomaly Detector (SegAD)☆59Updated last month
- ☆54Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆98Updated 4 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆144Updated 6 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- [ICLR2024] MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images. The original …☆15Updated last year
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆48Updated 5 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆32Updated 9 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
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆39Updated 3 months ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆27Updated last year
- ☆33Updated 8 months ago
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆58Updated 4 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆41Updated 6 months ago
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆65Updated last month
- ☆34Updated last year
- GeneralAD☆55Updated 9 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆60Updated 3 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated 11 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆175Updated last year
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆43Updated 2 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆191Updated 2 months ago
- DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation☆101Updated 4 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆73Updated 11 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆265Updated 3 months ago
- ☆55Updated 2 years ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆56Updated last month
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆164Updated 4 months ago
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆42Updated 7 months ago