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. 2022 Jan 13;22(1):8. doi: 10.1167/jov.22.1.8

Table 5.

Percentage of changed predictions when using JPEG-compression for all Cifar-10 models and different quality (Q) values.

Model; Q= 90 80 70 60 50 40 30 20 10
FP-net (N = 3) 9.024 14.124 17.676 21.014 23.714 26.688 31.580 40.116 57.502
FP-net (basic) (N = 3) 8.868 13.914 17.602 21.064 23.636 26.590 31.540 39.208 55.918
PyrBlockNet (N = 3) 10.112 15.086 18.864 22.176 25.670 29.102 34.168 41.842 56.930
ResNet (N = 3) 9.996 15.192 19.108 22.826 25.972 29.366 34.340 42.522 58.384
FP-net (N = 5) 8.374 13.158 17.104 20.644 23.232 26.690 31.766 40.412 58.090
FP-net (basic) (N = 5) 8.146 12.820 16.488 19.986 22.540 25.586 30.744 39.296 58.002
PyrBlockNet (N = 5) 9.322 14.590 18.746 22.488 25.770 29.656 35.006 43.668 59.840
ResNet (N = 5) 8.650 13.584 17.396 20.806 23.168 26.280 31.188 39.802 56.370
FP-net (N = 7) 8.058 12.868 16.780 19.898 22.830 25.714 30.818 39.848 57.782
FP-net (basic) (N = 7) 7.832 12.222 15.932 18.960 21.662 24.748 29.682 38.688 56.742
PyrBlockNet (N = 7) 8.804 13.980 17.920 22.114 25.410 29.432 34.964 44.002 59.232
ResNet (N = 7) 8.478 13.066 16.464 19.640 22.540 25.884 30.492 39.142 55.986
FP-net (N = 9) 7.694 12.482 16.704 19.866 22.700 25.886 31.402 40.064 57.774
FP-net (basic) (N = 9) 7.632 12.124 15.522 18.564 21.014 23.992 28.952 37.426 55.786
PyrBlockNet (N = 9) 8.740 13.498 17.594 21.258 24.294 28.190 33.596 42.560 59.332
ResNet (N = 9) 8.180 12.760 16.728 20.056 22.892 26.606 31.298 40.196 57.468