Table 2 Image-level auroc anomaly detection comparative results (%).

From: A swin transformer-based hybrid reconstruction discriminative network for image anomaly detection

Class

RIAD

InTra

CutPast

NSA

DRAEM

SRDAD

Texture

Carpet

84.2

98.8

93.1

95.6

97

98.9

Grid

99.6

100

99.9

99.9

99.9

100

Leather

100

100

100

99.9

100

100

Tile

98.7

98.2

93.4

100

99.6

99.4

Wood

93

97.5

98.6

97.5

99.1

99.7

Average

95.1

98.9

97

98.6

99.1

99.6

Object

Bottle

99.9

100

98.3

97.7

99.2

100

Cable

81.9

70.3

80.6

94.5

91.8

91.4

Capsule

88.4

86.5

96.2

95.2

98.5

98.4

Hazelnut

83.3

95.7

97.3

94.7

100

100

Metalnut

88.5

96.9

99.3

98.7

98.7

100

Pill

83.8

90.2

92.4

99.2

98.9

97.4

Screw

84.5

95.7

86.3

90.2

93.9

98.6

Toothbrush

100

100

98.3

100

100

100

Transistor

90.9

95.8

95.5

95.1

93.1

96.3

Zipper

98.1

99.4

99.4

99.8

100

100

Average

89.9

93

94.3

96.5

97.4

98.2

Average All

91.7

95.0

95.2

97.2

98.0

98.6