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1. STAC STAC Public

   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 def…

   Python 1

2. simEps simEps Public

   This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels

   Python 9 2

3. dseg_models dseg_models Public

   This repo contains implementation of deep learning-based steel surface defect segmentation models. Extensive experiments on several deep learning frameworks have been presented with various perform…

   Python 22 3

4. UAPS UAPS Public

   This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.

   Python 14 1

5. Awesome-Machine-Vision-and-Anomaly-Detection Awesome-Machine-Vision-and-Anomaly-Detection Public

   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.

   10 3

6. djene-mengistu.github.io djene-mengistu.github.io Public

   This repo contains CV, research interest, and selected publication lists.

   1