Table 4.

Error values in percentages 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)	12.412	16.468	19.686	22.624	25.230	28.116	32.920	41.044	57.940
FP-net (basic) (N = 3)	12.288	16.338	19.636	22.734	25.306	27.890	32.744	40.138	56.260
PyrBlockNet (N = 3)	13.080	17.356	20.676	23.790	27.108	30.324	35.326	42.798	57.336
ResNet (N = 3)	12.910	17.322	20.830	24.416	27.308	30.404	35.252	43.356	58.722
FP-net (N = 5)	11.040	15.154	18.742	22.076	24.676	27.864	32.772	41.240	58.466
FP-net (basic) (N = 5)	10.908	14.866	18.142	21.282	23.792	26.760	31.736	40.024	58.488
PyrBlockNet (N = 5)	11.918	16.412	20.342	23.898	27.078	30.694	35.888	44.424	60.176
ResNet (N = 5)	11.592	15.654	19.114	22.330	24.590	27.462	32.100	40.726	56.878
FP-net (N = 7)	10.456	14.596	18.214	21.292	24.112	26.720	31.768	40.582	58.022
FP-net (basic) (N = 7)	10.624	14.274	17.590	20.384	23.020	26.014	30.646	39.382	56.966
PyrBlockNet (N = 7)	11.396	15.928	19.344	23.356	26.518	30.456	35.908	44.706	59.660
ResNet (N = 7)	11.338	15.294	18.288	21.254	23.968	27.044	31.534	40.168	56.540
FP-net (N = 9)	10.118	14.228	18.020	21.116	23.820	26.894	32.382	40.830	57.930
FP-net (basic) (N = 9)	10.128	13.984	16.996	19.912	22.116	24.956	29.710	38.096	56.040
PyrBlockNet (N = 9)	10.974	15.290	19.088	22.640	25.504	29.244	34.520	43.218	59.616
ResNet (N = 9)	10.788	14.830	18.162	21.558	24.200	27.728	32.272	40.942	57.842