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Table 4 Comparison of different inference phase strategies on the PLM validation set

From: Automatic damage identification of Sanskrit palm leaf manuscripts with SegFormer

Method

Hit (%)

class IoU (%)

mHit

(%)

mIoU

(%)

INC

BRE

FIB

CON

IMP

INC

BRE

FIB

CON

IMP

None

76.8

71.2

71.6

54.1

97.8

57.0

42.7

43.4

33.8

93.5

54.1

71.6

TTA

77.9

71.2

71.7

54.5

97.8

57.4

43.3

43.4

35.3

93.2

54.5

71.7

TLC

76.8

72.3

70.8

54.1

99.6

57.5

42.8

42.8

33.5

93.9

54.1

70.8

TTA + TLC

79.6

74.7

72.9

54.9

98.4

59.3

43.3

42.9

35.1

93.9

54.9

72.9

TTA + TLC + Post

79.6

74.8

73.0

54.8

98.4

59.8

42.3

42.5

35.2

94.1

54.8

73.0

  1. “Post” indicates the post-processing method. The best scores are highlighted in bold, and the inference phase strategy used for each kind of damage is underlined