most citedUNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery

1.3k citations · 2.7k across the 10 of their papers we have counts for

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eess.IV2020★ 336 cited

Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images

Rui Li, Shunyi Zheng, Chenxi Duan +3

Semantic segmentation of remote sensing images plays an important role in a wide range of applications including land resource management, biosphere monitoring and urban planning.…

eess.IV2020★ 132 cited

MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

Rui Li, Chenxi Duan, Shunyi Zheng +2

Semantic segmentation of remotely sensed images plays an important role in land resource management, yield estimation, and economic assessment. U-Net, a deep encoder-decoder archit…