Table 3 Per-class mIoU comparison on LoveDA dataset with other Models.

From: Multiscale scene parsing network

Method

Backbone

Background

Building

Road

Water

Barren

Forest

Agriculture

mIoU(%)

DeepLabv3+7

R50

0.43

0.51

0.52

0.74

0.11

0.44

0.59

47.60

Segmenter26

ViT-T

0.38

0.51

0.49

0.77

0.13

0.44

0.58

47.10

ABCNet27

R50

0.53

0.62

0.52

0.62

0.30

0.42

0.47

49.80

BANet28

Res-T

0.54

0.62

0.51

0.65

0.27

0.44

0.48

50.15

UNetformer29

R18

0.45

0.59

0.55

0.80

0.20

0.46

0.63

50.73

CM-UNet30

R18

0.55

0.64

0.56

0.68

0.30

0.43

0.51

52.17

MSPNet

Starnet_s4

0.49

0.46

0.48

0.67

0.37

0.57

0.66

58.33