hustCYQ / Towards-Practical-Industrial-Anomaly-DetectionLinks
[JMS 2026] A Comprehensive Survey for Real-World Industrial Surface Defect Detection: Challenges, Approaches, and Prospects (Journal of Manufacturing Systems)
☆71Updated 3 weeks ago
Alternatives and similar repositories for Towards-Practical-Industrial-Anomaly-Detection
Users that are interested in Towards-Practical-Industrial-Anomaly-Detection are comparing it to the libraries listed below
Sorting:
- (ICCV 2025) DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup☆48Updated 2 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆125Updated 3 months ago
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆237Updated 5 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆62Updated last month
- Industrial Defect Diffusion Model (NOT JUST INDUSTRIAL DEFECT~), support DDPM, DDIM and multi-GPU distributed training. 分布式训练,生成模型,扩散模型☆16Updated 2 years ago
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆116Updated 3 months ago
- ☆89Updated 2 years ago
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆20Updated 5 months ago
- ☆59Updated 7 months ago
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆106Updated 4 months ago
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆41Updated 3 months ago
- Official implementation of SuperSimpleNet [ICPR 2024, JIMS 2025]☆120Updated last month
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 9 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆165Updated last month
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆111Updated last year
- SSGD(ICASSP2023)☆52Updated last year
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆51Updated 4 months ago
- DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation☆117Updated 6 months ago
- [TASE 2024] AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization☆27Updated 9 months ago
- [IJCV 2024] Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection☆22Updated 11 months ago
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆35Updated last year
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆64Updated 2 years ago
- ☆56Updated last year
- ☆13Updated last year
- This repository is the official implementation of Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation.☆22Updated 3 months ago
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆55Updated 5 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated last year
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆80Updated last year
- Open-sourced codes, IAD vision-language datasets and pre-trained checkpoints for Myriad.☆94Updated 5 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆101Updated 6 months ago