ZubinGou / ResNet-NEU-CLSLinks
NEU Surface defect classification with ResNet.
☆15Updated last year
Alternatives and similar repositories for ResNet-NEU-CLS
Users that are interested in ResNet-NEU-CLS are comparing it to the libraries listed below
Sorting:
- 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☆15Updated last year
- [Pattern Recognition] Official implementation of the paper "CANet: Contextual Information and Spatial Attention Based Network for Detecti…☆18Updated 10 months ago
- [ICASSP 2022] FDSNet: An Accurate Real-Time Surface Defect Segmentation Network☆37Updated 7 months ago
- [ECCV 2024] Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection☆15Updated 9 months ago
- Code of IEEE TIM Paper: ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection☆24Updated last year
- [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection☆22Updated last year
- The core code of AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection☆29Updated last year
- 基于卷积自编码器和图像金字塔的布料缺陷无监督学习与检测方法☆8Updated last year
- Official implementation of the paper "Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection"☆14Updated last year
- Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)☆22Updated 5 months ago
- Pytorch implementation of UTRAD☆25Updated 3 years ago
- ☆14Updated last year
- [arXiv:2410.14987] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at http…☆26Updated 11 months ago
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆19Updated last year
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆17Updated last year
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆15Updated last month
- ☆28Updated 11 months ago
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆24Updated last week
- [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.☆30Updated last year
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆46Updated last year
- Official implementation of TailedCore(CVPR25)☆17Updated this week
- Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation☆39Updated 2 years ago
- Uniformaly: Towards Task-Agnostic Unified Anomaly Detection☆13Updated last year
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆25Updated last year
- Metal Parts Defect Detection Dataset☆32Updated 10 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆56Updated 2 months ago
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆32Updated 7 months ago
- ☆21Updated 4 months ago
- ☆23Updated last year
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆25Updated last month