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Table 1 The Precision and Recall of SVM methods, human’s visual system, and our method

From: Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss

Methods

Full testing data

Partial data

 

Precision (%)

Recall (%)

Precision (%)

Recall (%)

Gabor + SVM [5]

75.24

7.21

70.12

6.11

Wavelet + SVM [6]

76.48

6.89

73.37

5.93

Wavelet + Gabor + SVM [7]

78.19

6.37

77.65

5.31

Combined features + SVM [8]

80.21

6.01

80.33

5.75

Human’s visual system

75.21

10.01

82.54

5.18

Our method

99.96

2.31

95.54

3.12