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. 2021 Feb 2;21(3):1010. doi: 10.3390/s21031010

Table 5.

One-shot learning using 1-NN.

Features Acc. Pr Re F1
Hist L 4.58 4.92 4.63 4.77
Hist RGB 11.74 14.32 11.91 13.00
3 marg. hist. 13.20 15.28 13.45 14.30
qHist RGB 11.92 14.52 12.08 13.19
sHist RGB 7.06 9.42 7.27 8.20
Chrom. Mom. 7.31 7.65 7.42 7.54
Cooc. Matr. 1.69 1.90 1.69 1.79
SFTA 3.62 4.12 3.69 3.89
Granulometry 6.03 7.82 6.08 6.84
GIST 8.89 12.27 9.04 10.40
DT-CWT 7.86 9.43 7.98 8.65
CEDD 9.78 10.86 9.93 10.37
HOG 3.38 4.05 3.39 3.69
Gabor 7.43 8.97 7.52 8.18
LBP 6.49 8.46 6.51 7.36
LBP-nri 6.91 9.89 6.88 8.12
LBP-LCC 7.72 9.64 7.68 8.54
vgg16 27.70 32.86 27.94 30.20
vgg19 27.80 33.38 28.07 30.49
squeezenet 24.38 27.26 24.57 25.84
Inception V3 31.88 39.13 32.15 35.29
Google Net 24.17 29.12 24.35 26.52
Resnet50 L 30.21 36.21 30.45 33.08
Resnet50 43.48 50.55 43.83 46.95