Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...
Abstract: Few-shot segmentation (FSS) techniques enhance pixel-level interpretation of unseen classes while reducing reliance on extensive labeled data. However, FSS still faces significant ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
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