WH-HuanWang / Defect-GLM
Defect-GLM:A Large Visual-Language Model for Industrial Defect Monitoring|首个用于工业缺陷监测的开源大规模视觉语言模型
☆74Updated 6 months ago
Alternatives and similar repositories for Defect-GLM:
Users that are interested in Defect-GLM are comparing it to the libraries listed below
- Open-sourced codes, IAD vision-language datasets and pre-trained checkpoints for Myriad.☆79Updated 5 months ago
- [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection☆21Updated 10 months ago
- 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☆14Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆94Updated 7 months ago
- mobile phone screen surface defect segmentation (detection) dataset.☆53Updated 5 months ago
- We offer a collection of many dataset regarding surface-defect. Up to 24 dataset is listed in this repo.☆60Updated last year
- ☆25Updated 9 months ago
- The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]☆97Updated last month
- A taxonomy of industrial anomaly detection methods and datasets (updating).☆83Updated last week
- Image anomaly detection benchmark in industrial manufacturing☆132Updated last month
- ☆80Updated last year
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆172Updated 3 months ago
- ☆23Updated 2 years ago
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆16Updated 10 months ago
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆39Updated last month
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆161Updated 2 weeks ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆139Updated 6 months ago
- ☆16Updated 3 months ago
- [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow☆61Updated last year
- MoEAD is a parameter efficient model for multi class anomaly detection☆25Updated 3 months ago
- A sequence normalizing flow framework with memory saving, automatic Jacobian tracking, and object-oriented programming features.☆40Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆61Updated 8 months ago
- SSGD(ICASSP2023)☆38Updated 3 months ago
- ☆76Updated 8 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆37Updated 9 months ago
- An unofficial implementation using Pytorch for "Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types". Improve the…☆18Updated last year
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆242Updated last month
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆41Updated 11 months ago
- REB:Reducing Biases in Representation for Industrial Anomaly Detection☆24Updated last year
- Unofficial individual re-implementation for "MemSeg: A semi-supervised method for image surface defect detection using differences and co…☆38Updated 2 years ago