用于无人机遥感图像的高精度实时语义分割网络
魏新雨,饶蕾,范光宇,陈年生,程松林,杨定裕

High-precision real-time semantic segmentation network for UAV remote sensing images
Xinyu WEI,Lei RAO,Guangyu FAN,Niansheng CHEN,Songlin CHENG,Dingyu YANG
表 6 LoveDA测试集上分割算法的性能比较
Tab.6 Performance comparison of segmentation algorithms on LoveDA test set %
算法IoUmIoU
背景建筑物道路水体荒地森林农业
FCN 8S42.649.548.173.111.843.558.346.7
BiSeNet47.2
PSPNet44.452.153.576.59.744.157.948.3
DeepLab V3+43.050.952.074.410.444.258.547.6
BANet43.751.551.176.916.644.962.549.6
CoaT49.9
SegFormer50.4
DC-Swin41.354.556.278.114.547.262.450.6
UNetFormer44.758.854.979.620.146.062.552.4
MobileViT V343.060.156.981.317.648.156.151.9
RSSFormer52.460.755.276.318.745.458.352.4
SSFNet45.657.456.981.518.445.563.452.7