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Abstract: This research paper investigates the application of Deep Learning, specifically employing the DeepLabV3 architecture, for Semantic Segmentation in identifying Rooftop Photovoltaic (PV) ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric traits and estimation of yields in both laboratory and field settings without ...
Abstract: Semantic segmentation of satellite imagery is essential for land-use mapping, urban planning, and environmental tracking. Yet high-resolution multispectral imagery like Satellite imagery ...