Table 5 Comparison of benchmark evaluation results for component segmentation.

From: A Large-Scale Synthetic Benchmark Dataset for Non-Cooperative Space Target Perception

Method

mIOU

mACC

Flops(G)

Params(M)

backbone

Body

Solar panel

Antenna

Observation load

Iou

Acc

Iou

Acc

Iou

Acc

Iou

Acc

FCN

77.7

83.2

58.0

47.1

Resnet50

69.52

72.75

90.04

94.19

75.73

81.29

75.57

84.72

Unet

80.3

85.8

203

29.0

Resnet50

71.83

75.59

91.24

96.64

80.0

87.14

78.21

83.73

DeepLabV3+

83.0

88.7

177

41.2

Resnet50

72.86

76.56

93.53

96.52

84.11

91.95

81.46

89.71

Gcnet

81.4

86.2

198

47.3

Resnet50

72.06

75.69

92.47

95.54

81.75

88.24

79.28

85.25

Fast-SCNN

43.90

56.0

0.936

1.40

—

41.37

74.49

45.94

46.48

38.15

40.41

46.44

62.46

SETR

71.2

79.7

367

309

ViT-Large

65.43

71.42

86.42

92.86

66.38

78.78

66.37

75.9

Segformer

79.9

86.4

7.90

3.72

Mit_b0

70.47

75.07

91.48

95.6

79.94

87.34

78.0

87.44

K-net

82.4

87.9

273

78.9

Resnet50

73.4

76.38

92.26

96.81

83.02

90.14

80.87

88.61

MaskFormer

84.8

89.5

181

45.0

Resnet50

74.5

77.33

93.44

96.61

86.69

93.48

84.48

90.72

Mask2Former

88.1

91.0

226

44.0

Resnet50

76.66

78.25

95.69

97.75

91.28

95.01

88.8

93.1