A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Abstract: Supervised deep learning neural networks provide an accurate method for synthetic aperture radar (SAR) image semantic segmentation, but require training that relies heavily on high-quality ...
Abstract: The data-intensive nature of supervised classification drives the interest of the researchers towards unsupervised approaches, especially for problems such as medical image segmentation, ...
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