Recent advances in deep learning have transformed the classification of urban imagery drawn from aerial, satellite and street-level sensors. Convolutional neural networks and vision transformers now ...

Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...