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FSegNet: A Semantic Segmentation Network for High-Resolution Remote Sensing Images That Balances Efficiency and Performance

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS(2024)

Cited 1|Views28
Key words
Feature extraction,Image segmentation,Decoding,Semantics,Convolution,Spatial resolution,Remote sensing,FasterViT,high-resolution remote sensing images (HRSIs),semantic segmentation
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