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Multiscale Context-Aware Feature Fusion Network for Land-Cover Classification of Urban Scene Imagery
A multiscale context-aware feature fusion network improves urban land-cover classification by correlating multiscale features, fusing encoder-decoder context, and using a pixel-shuffle decoder to reduce artifacts.
Published 2023 · 7 citations
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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5