AI RESEARCH
Vision Transformers and Convolutional Neural Networks for Land Use Scene Classification
arXiv CS.CV
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ArXi:2605.21268v1 Announce Type: new Land Use Scene Classification (LUSC) from remote sensing imagery plays a critical role in environmental monitoring, urban planning, and sustainable resource management. In recent years, deep learning methods have significantly advanced the state of the art, with Convolutional Neural Networks (CNNs) dominating the field because of their strong ability to capture local spatial features. However, the emergence of Vision Transformers (ViTs) has