SimonThomine / DistillationADLinks
Project that regroup the state-of-the-art knowledge distillation approaches for unsupervised anomaly detection
☆12Updated 2 months ago
Alternatives and similar repositories for DistillationAD
Users that are interested in DistillationAD are comparing it to the libraries listed below
Sorting:
- ☆13Updated last year
- This is official implementation of Multi-scale feature reconstruction network for industrial anomaly detection☆18Updated 5 months ago
- Uniformaly: Towards Task-Agnostic Unified Anomaly Detection☆14Updated 2 years ago
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆39Updated last year
- PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"☆17Updated 2 years ago
- ☆31Updated 2 years ago
- Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"☆14Updated 2 years ago
- [EAAI 2024] Template-based Feature Aggregation Network for industrial anomaly detection☆11Updated 9 months ago
- The official implementation of the paper DADF for industrial VAD☆12Updated 2 years ago
- The official repository of Continuous Memory Representation for Anomaly Detection☆32Updated last year
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- [IEEE TII 2025] Official Implementation for "VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modelin…☆25Updated 8 months ago
- PatchCore method for Industrial Anomaly Detection + CLIP☆39Updated last year
- [TASE 2024] AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization☆27Updated 9 months ago
- ICCV 2025 Code for "Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection"☆11Updated 3 weeks ago
- [KBS 2022] Informative knowledge distillation for image anomaly segmentation☆22Updated 3 years ago
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆20Updated 6 months ago
- [IEEE-TIP R2]Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection☆15Updated 3 months ago
- Official implementation of TailedCore(CVPR25)☆24Updated 6 months ago
- Pytorch implementation of UTRAD☆27Updated 3 years ago
- ☆11Updated 11 months ago
- This is an official implementation of “A Masked Reverse Knowledge Distillation Method Incorporating Global and Local Information for Imag…☆40Updated this week
- Synthetic Image Dataset for Industrial Anomaly Detection and Segmentation☆13Updated last year
- Unsupervised Anomaly Detection and Segmentation via Deep Feature Correspondence☆21Updated 3 years ago
- ☆19Updated 3 years ago
- ☆56Updated 2 years ago
- Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection☆28Updated 4 months ago
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆26Updated last year
- This is an official implementation of “ Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection” (…☆46Updated this week
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆81Updated last year