Crisscross-Global Vision Transformers Model for Very High Resolution Aerial Image Semantic Segmentation
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DOI: 10.1109/tgrs.2023.3276172
Abstract: Semantic segmentation is a key means for understanding very high resolution (VHR) aerial imagery. With the explosive development of deep learning, deep learning methods are being applied to the segmentation of VHR images, with convolutional… read more here.
Keywords: semantic segmentation; high resolution; crisscross global; segmentation ... See more keywords