Abstract: Transfer learning, particularly through pre-training and fine-tuning strategies, is widely used to address the substantial training sample requirement of deep learning methods for urban land ...
Abstract: Deep learning has significantly advanced image analysis across diverse domains but often depends on large, annotated datasets for success. Transfer learning addresses this challenge by ...
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