Table 5.
Percentage of changed predictions when using JPEG-compression for all Cifar-10 models and different quality (Q) values.
Model; | 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 |