luow23 / TFA-NetLinks
[EAAI 2024] Template-based Feature Aggregation Network for industrial anomaly detection
☆11Updated 9 months ago
Alternatives and similar repositories for TFA-Net
Users that are interested in TFA-Net are comparing it to the libraries listed below
Sorting:
- [TASE 2024] AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization☆27Updated 9 months ago
- ☆13Updated last year
- Technical Challenge Repository for Visual Anomaly Detection Workshop (VAND) at CVPR☆12Updated 4 months ago
- Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"☆14Updated 2 years ago
- ICCV 2025 Code for "Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection"☆11Updated 2 weeks ago
- ☆12Updated last year
- 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
- ☆30Updated 2 years ago
- ☆19Updated last year
- [JMS 2026] A Comprehensive Survey for Real-World Industrial Surface Defect Detection: Challenges, Approaches, and Prospects (Journal of M…☆73Updated last month
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆20Updated 5 months ago
- ☆12Updated 5 months ago
- The code for "Self-supervised Context Learning for Visual Inspection of Industrial Defects"☆16Updated last year
- Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection☆28Updated 4 months ago
- Synthetic Image Dataset for Industrial Anomaly Detection and Segmentation☆13Updated last year
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆80Updated last year
- ☆18Updated last year
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆35Updated last year
- REB:Reducing Biases in Representation for Industrial Anomaly Detection☆26Updated last year
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆52Updated last year
- ☆38Updated last year
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆56Updated 5 months ago
- Project that regroup the state-of-the-art knowledge distillation approaches for unsupervised anomaly detection☆12Updated 2 months ago
- Uniformaly: Towards Task-Agnostic Unified Anomaly Detection☆14Updated 2 years ago
- [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection☆16Updated last year
- MoEAD is a parameter efficient model for multi class anomaly detection☆34Updated 11 months ago
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆41Updated 3 months ago
- ☆23Updated last year