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Table 2 Comparison among the effects of different segmentation models on the PASCAL VOC dataset

From: Ancient mural segmentation based on multiscale feature fusion and dual attention enhancement

Model

Backbone

MIoU/%

MPA/%

Parameters/M

SegNet

VGG16

68.47

76.56

190.7

DeepLabV3

MobileNetV2

71.2

81.39

5.02

PSPNet

ResNet50

80.11

89.62

54.58

DeepLabV3 + 

Xception

80.73

89.12

60.43

DANet

ResNet50

78.5

87.64

48.26

SETR

ViT-L

78.84

88.15

260.1

DAFPN

Swin-T

80.8

89.7

158

MFAM (Ours)

CA_MobileViT

80.25

88.76

9.5

  1. MioU: mean intersection over union; MPA: mean pixel accuracy (MPA). The bold number indicates the highest value among the evaluation indicators
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