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+ The usage of convolutional neural networks (CNNs) for unsupervised image segmentation was investigated in this study. + Similar to supervised image segmentation, the proposed CNN assigns labels to ...

Abstract: In unsupervised domain adaptive semantic segmentation, the Mean Teacher framework has demonstrated strong performance. By utilizing two models with the same structure but different ...

Crop segmentation, the process of identifying crop regions in images, is fundamental to agricultural monitoring tasks such as yield prediction, pest detection, and growth assessment. Traditional ...

Abstract: Visual anomaly detection methods with localization are critically important for industrial manufacturing quality control. Because of the rarity of anomalies and the irregular variation of ...