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intelligent-manufacturing-and-automation

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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 / STAC

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This work proposes STAC, a novel framework for weakly supervised defect localization that leverages saliency-guided transformer attention and pixel-level contrastive learning to achieve precise defect maps using only image-level labels.

industrial-automation machine-vision intelligent-systems multi-class-classification class-activation-map robotic-vision weakly-supervised-segmentation transformer-attention defect-segmentation intelligent-manufacturing-and-automation
  • Updated Apr 17, 2026
  • Python

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