Abstract: We explore the potential of large-scale noisily labeled data to enhance feature learning by pretraining semantic segmentation models within a multimodal framework for geospatial applications ...
Abstract: With the rapid development of remote sensing technology, semantic segmentation of high-resolution aerial images has become a research hotspot in fields such as land planning and disaster ...
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