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intelligent-machine-vision-systems

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djene-mengistu / Awesome-Machine-Vision-and-Anomaly-Detection

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This repo contains state-of-the-art deep learning models for industrial anomaly detection, defect segmentation, detection, and classification, with other industrial machine vision applications.

machine-learning deep-learning semi-supervised-learning image-classification segmentation machine-vision weakly-supervised-learning anomaly-detection intelligent-manufacturing defect-segmentation intelligent-inspection industrial-anomaly-detection intelligent-machine-vision-systems intelligent-manufacturing-and-automation
  • Updated Apr 18, 2026

djene-mengistu / ProMSC

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This repo contains the official implementation of ProMSC, a novel semi-supervised framework for defect segmentation under limited annotations. It features cross-sample prototype matching and multiscale spatial correlation consistency, achieving state-of-the-art results on multiple industrial defect datasets.

automation prototype semi-supervised-learning intelligent-systems defect-detection industrial-ai spatial-correlations consistency-regularization pseudo-label-training defect-segmentation intelligent-machine-vision-systems
  • Updated Jul 3, 2026
  • Python

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