pytorch-image-models/results/results-imagenet-r.csv

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation	top1_diff	top5_diff	rank_diff
2	ig_resnext101_32x48d	79.650	20.350	89.393	10.607	828.41	224	0.875	bilinear	-17.320	-10.277	+4
3	ig_resnext101_32x32d	79.457	20.543	89.183	10.817	468.53	224	0.875	bilinear	-17.323	-10.347	+5
4	ig_resnext101_32x16d	78.837	21.163	88.480	11.520	194.03	224	0.875	bilinear	-17.603	-11.060	+9
5	tf_efficientnet_l2_ns_475	76.480	23.520	88.653	11.347	480.31	475	0.936	bicubic	-21.270	-11.167	-2
6	swsl_resnext101_32x16d	76.303	23.697	87.733	12.267	194.03	224	0.875	bilinear	-19.967	-11.767	+11
7	ig_resnext101_32x8d	75.813	24.187	86.200	13.800	88.79	224	0.875	bilinear	-20.117	-13.180	+18
8	swsl_resnext101_32x8d	75.590	24.410	86.937	13.063	88.79	224	0.875	bilinear	-20.650	-12.653	+10
9	tf_efficientnet_l2_ns	74.650	25.350	87.543	12.457	480.31	800	0.960	bicubic	-23.130	-12.347	-7
10	swsl_resnext101_32x4d	72.660	27.340	85.157	14.843	44.18	224	0.875	bilinear	-23.390	-14.373	+13
11	swsl_resnext50_32x4d	68.977	31.023	82.810	17.190	25.03	224	0.875	bilinear	-26.643	-16.630	+15
12	swsl_resnet50	68.297	31.703	83.313	16.687	25.56	224	0.875	bilinear	-26.903	-16.077	+24
13	tf_efficientnet_b7_ns	67.510	32.490	81.383	18.617	66.35	600	0.949	bicubic	-29.690	-18.317	-9
14	tf_efficientnet_b6_ns	65.587	34.413	79.553	20.447	43.04	528	0.942	bicubic	-31.433	-20.157	-9
15	tf_efficientnet_b5_ns	63.047	36.953	77.777	22.223	30.39	456	0.934	bicubic	-33.823	-21.863	-8
16	tf_efficientnet_b4_ns	61.230	38.770	76.173	23.827	19.34	380	0.922	bicubic	-35.480	-23.467	-7
17	tf_efficientnet_b8_ap	57.830	42.170	72.957	27.043	87.41	672	0.954	bicubic	-38.720	-26.583	-5
18	tf_efficientnet_b3_ns	57.417	42.583	72.387	27.613	12.23	300	0.904	bicubic	-38.683	-27.093	+2
19	tf_efficientnet_b5_ap	53.870	46.130	69.160	30.840	30.39	456	0.934	bicubic	-42.210	-30.380	+2
20	tf_efficientnet_b2_ns	53.600	46.400	70.270	29.730	9.11	260	0.890	bicubic	-41.920	-29.070	+9
21	tf_efficientnet_b6_ap	53.560	46.440	68.550	31.450	43.04	528	0.942	bicubic	-42.810	-31.000	-7
22	tf_efficientnet_b8	53.410	46.590	69.090	30.910	87.41	672	0.954	bicubic	-43.290	-30.440	-12
23	tf_efficientnet_b7_ap	53.260	46.740	68.873	31.127	66.35	600	0.949	bicubic	-43.090	-30.717	-8
24	tf_efficientnet_b4_ap	53.090	46.910	68.210	31.790	19.34	380	0.922	bicubic	-42.400	-31.180	+7
25	tf_efficientnet_b7	52.393	47.607	68.233	31.767	66.35	600	0.949	bicubic	-44.187	-31.277	-14
26	swsl_resnet18	52.327	47.673	70.480	29.520	11.69	224	0.875	bilinear	-38.763	-27.730	+195
27	tf_efficientnet_b1_ns	50.883	49.117	67.910	32.090	7.79	240	0.882	bicubic	-43.977	-31.340	+20
28	ssl_resnext101_32x16d	50.257	49.743	66.033	33.967	194.03	224	0.875	bilinear	-45.153	-33.267	+5
29	resnest269e	50.153	49.847	64.670	35.330	110.93	416	0.928	bicubic	-45.967	-34.850	-10
30	tf_efficientnet_b3_ap	50.057	49.943	65.210	34.790	12.23	300	0.904	bicubic	-44.913	-33.900	+12
31	resnest200e	49.873	50.127	64.743	35.257	70.20	320	0.909	bicubic	-46.197	-34.737	-9
32	tf_efficientnet_b5	49.510	50.490	65.657	34.343	30.39	456	0.934	bicubic	-46.470	-33.793	-8
33	resnest101e	49.367	50.633	65.587	34.413	48.28	256	0.875	bilinear	-46.203	-33.683	-5
34	ssl_resnext101_32x8d	49.067	50.933	65.480	34.520	88.79	224	0.875	bilinear	-46.273	-33.840	+1
35	ecaresnet101d	48.527	51.473	64.100	35.900	44.57	224	0.875	bicubic	-46.633	-35.130	+2
36	resnest50d_4s2x40d	47.483	52.517	63.807	36.193	30.42	224	0.875	bicubic	-47.227	-35.323	+14
37	efficientnet_b3_pruned	47.447	52.553	62.793	37.207	9.86	300	0.904	bicubic	-47.133	-36.277	+19
38	tf_efficientnet_b6	47.213	52.787	63.110	36.890	43.04	528	0.942	bicubic	-49.077	-36.410	-22
39	ssl_resnext101_32x4d	47.177	52.823	63.367	36.633	44.18	224	0.875	bilinear	-47.983	-35.933	-1
40	tf_efficientnet_b4	47.083	52.917	62.867	37.133	19.34	380	0.922	bicubic	-48.507	-36.463	-13
41	gluon_seresnext101_64x4d	46.677	53.323	61.303	38.697	88.23	224	0.875	bicubic	-47.973	-37.677	+13
42	tresnet_xl	46.283	53.717	61.943	38.057	78.44	224	0.875	bilinear	-48.777	-37.317	-1
43	resnest50d_1s4x24d	46.083	53.917	62.377	37.623	25.68	224	0.875	bicubic	-48.307	-36.693	+19
44	tf_efficientnet_b0_ns	46.047	53.953	63.253	36.747	5.29	224	0.875	bicubic	-47.693	-35.727	+70
45	resnest50d	45.937	54.063	62.623	37.377	27.48	224	0.875	bilinear	-48.683	-36.407	+10
46	gluon_seresnext101_32x4d	45.590	54.410	61.143	38.857	48.96	224	0.875	bicubic	-48.860	-37.947	+13
47	gluon_resnet152_v1d	45.430	54.570	60.077	39.923	60.21	224	0.875	bicubic	-49.010	-38.933	+14
48	ssl_resnext50_32x4d	45.407	54.593	62.047	37.953	25.03	224	0.875	bilinear	-49.293	-37.193	+3
49	tresnet_xl_448	45.223	54.777	61.437	38.563	78.44	448	0.875	bilinear	-50.287	-37.903	-19
50	nasnetalarge	45.210	54.790	57.883	42.117	88.75	331	0.911	bicubic	-49.940	-41.247	-11
51	tf_efficientnet_b3	45.107	54.893	60.650	39.350	12.23	300	0.904	bicubic	-49.803	-38.460	-7
52	rexnet_200	45.047	54.953	62.317	37.683	16.37	224	0.875	bicubic	-49.613	-36.773	0
53	ecaresnetlight	44.890	55.110	60.770	39.230	30.16	224	0.875	bicubic	-49.250	-38.180	+27
54	tf_efficientnet_b2_ap	44.700	55.300	60.680	39.320	9.11	260	0.890	bicubic	-49.570	-38.270	+17
55	ens_adv_inception_resnet_v2	44.393	55.607	58.117	41.883	55.84	299	0.897	bicubic	-49.737	-40.673	+27
56	tresnet_l	44.363	55.637	59.953	40.047	55.99	224	0.875	bilinear	-50.537	-39.077	-11
57	gluon_resnext101_32x4d	44.290	55.710	59.090	40.910	44.18	224	0.875	bicubic	-49.830	-39.840	+27
58	cspresnext50	44.147	55.853	60.533	39.467	20.57	224	0.875	bilinear	-49.613	-38.307	+52
59	gluon_resnet152_v1s	44.073	55.927	58.703	41.297	60.32	224	0.875	bicubic	-50.647	-40.357	-11
60	ssl_resnet50	44.010	55.990	61.887	38.113	25.56	224	0.875	bilinear	-50.300	-37.263	+8
61	inception_resnet_v2	44.003	55.997	57.907	42.093	55.84	299	0.897	bicubic	-50.337	-40.893	+6
62	pnasnet5large	43.950	56.050	56.730	43.270	86.06	331	0.911	bicubic	-51.410	-42.400	-28
63	gluon_resnext101_64x4d	43.877	56.123	58.710	41.290	83.46	224	0.875	bicubic	-50.473	-40.170	+2
64	ecaresnet50d	43.750	56.250	60.387	39.613	25.58	224	0.875	bicubic	-50.440	-38.633	+12
65	ecaresnet101d_pruned	43.737	56.263	59.607	40.393	24.88	224	0.875	bicubic	-50.713	-39.493	-7
66	rexnet_150	43.690	56.310	60.897	39.103	9.73	224	0.875	bicubic	-50.580	-38.183	+4
67	efficientnet_b3a	43.677	56.323	59.897	40.103	12.23	320	1.000	bicubic	-51.443	-39.223	-27
68	efficientnet_b3	43.597	56.403	59.810	40.190	12.23	300	0.904	bicubic	-51.363	-39.390	-25
69	gluon_resnet101_v1d	43.440	56.560	58.613	41.387	44.57	224	0.875	bicubic	-50.730	-40.397	+9
70	gluon_resnet101_v1s	43.363	56.637	58.503	41.497	44.67	224	0.875	bicubic	-50.807	-40.407	+9
71	cspdarknet53	43.357	56.643	59.430	40.570	27.64	256	0.887	bilinear	-50.733	-39.550	+15
72	dpn68b	43.287	56.713	58.673	41.327	12.61	224	0.875	bicubic	-50.333	-40.027	+54
73	resnest26d	43.140	56.860	60.623	39.377	17.07	224	0.875	bilinear	-50.100	-38.227	+76
74	dpn131	43.047	56.953	57.440	42.560	79.25	224	0.875	bicubic	-50.713	-41.360	+37
75	tf_efficientnet_lite4	42.967	57.033	57.620	42.380	13.01	380	0.920	bilinear	-51.903	-41.470	-29
76	gluon_resnet152_v1b	42.903	57.097	57.750	42.250	60.19	224	0.875	bicubic	-51.127	-40.990	+13
77	dpn107	42.857	57.143	57.367	42.633	86.92	224	0.875	bicubic	-51.103	-41.473	+17
78	tf_efficientnet_b1_ap	42.803	57.197	58.813	41.187	7.79	240	0.882	bicubic	-50.827	-39.987	+47
79	gluon_resnet152_v1c	42.800	57.200	57.737	42.263	60.21	224	0.875	bicubic	-51.080	-41.063	+20
80	gluon_xception65	42.793	57.207	58.820	41.180	39.92	299	0.903	bicubic	-51.217	-40.210	+12
81	tresnet_l_448	42.753	57.247	58.947	41.053	55.99	448	0.875	bilinear	-52.657	-40.463	-49
82	tresnet_m	42.687	57.313	58.153	41.847	31.39	224	0.875	bilinear	-51.383	-40.677	+6
83	gluon_seresnext50_32x4d	42.683	57.317	58.710	41.290	27.56	224	0.875	bicubic	-51.487	-40.230	-6
84	resnext101_32x8d	42.557	57.443	58.317	41.683	88.79	224	0.875	bilinear	-51.213	-40.633	+25
85	seresnet50	42.510	57.490	58.667	41.333	28.09	224	0.875	bicubic	-51.570	-40.303	+2
86	dpn98	42.280	57.720	56.880	43.120	61.57	224	0.875	bicubic	-51.660	-42.040	+10
87	tf_efficientnet_cc_b1_8e	42.233	57.767	58.420	41.580	39.72	240	0.882	bicubic	-51.337	-40.270	+45
88	tf_efficientnet_b2	42.120	57.880	58.197	41.803	9.11	260	0.890	bicubic	-52.090	-40.833	-14
89	gluon_resnext50_32x4d	42.043	57.957	57.667	42.333	25.03	224	0.875	bicubic	-51.607	-41.023	+33
90	resnet50	42.013	57.987	56.000	44.000	25.56	224	0.875	bicubic	-51.447	-42.600	+51
91	ecaresnet50d_pruned	41.953	58.047	58.217	41.783	19.94	224	0.875	bicubic	-51.867	-40.783	+13
92	efficientnet_b2a	41.933	58.067	58.300	41.700	9.11	288	1.000	bicubic	-52.437	-40.750	-28
93	dla102x2	41.647	58.353	57.967	42.033	41.28	224	0.875	bilinear	-52.353	-41.063	0
94	hrnet_w64	41.637	58.363	57.130	42.870	128.06	224	0.875	bilinear	-52.193	-41.800	+9
95	efficientnet_b2	41.627	58.373	58.033	41.967	9.11	260	0.875	bicubic	-52.713	-41.067	-29
96	gluon_senet154	41.627	58.373	56.373	43.627	115.09	224	0.875	bicubic	-53.083	-42.597	-47
97	inception_v4	41.577	58.423	55.383	44.617	42.68	299	0.875	bicubic	-52.803	-43.437	-34
98	tf_efficientnet_cc_b0_8e	41.487	58.513	57.377	42.623	24.01	224	0.875	bicubic	-51.383	-41.083	+72
99	resnext50_32x4d	41.443	58.557	56.997	43.003	25.03	224	0.875	bicubic	-52.397	-41.833	+3
100	resnet152	41.327	58.673	57.520	42.480	60.19	224	0.875	bilinear	-51.913	-41.230	+50
101	xception71	41.270	58.730	55.873	44.127	42.34	299	0.903	bicubic	-52.620	-43.077	-3
102	dpn92	41.267	58.733	56.333	43.667	37.67	224	0.875	bicubic	-52.923	-42.597	-27
103	adv_inception_v3	41.263	58.737	56.317	43.683	23.83	299	0.875	bicubic	-51.747	-42.173	+55
104	resnetblur50	41.053	58.947	57.077	42.923	25.56	224	0.875	bicubic	-52.657	-41.733	+13
105	gluon_resnet50_v1d	40.970	59.030	57.137	42.863	25.58	224	0.875	bicubic	-52.560	-41.573	+30
106	gluon_inception_v3	40.907	59.093	55.617	44.383	23.83	299	0.875	bicubic	-52.633	-43.213	+27
107	ese_vovnet39b	40.867	59.133	56.950	43.050	24.57	224	0.875	bicubic	-52.983	-41.950	-6
108	regnety_320	40.813	59.187	56.117	43.883	145.05	224	0.875	bicubic	-53.707	-43.053	-51
109	xception	40.763	59.237	56.387	43.613	22.86	299	0.897	bicubic	-52.877	-42.383	+14
110	skresnext50_32x4d	40.700	59.300	56.023	43.977	27.48	224	0.875	bicubic	-53.250	-42.797	-15
111	gluon_resnet101_v1b	40.683	59.317	56.117	43.883	44.55	224	0.875	bicubic	-53.077	-42.583	+1
112	hrnet_w40	40.660	59.340	56.753	43.247	57.56	224	0.875	bilinear	-53.050	-42.047	+4
113	tf_efficientnet_lite3	40.563	59.437	56.477	43.523	8.20	300	0.904	bilinear	-53.567	-42.483	-30
114	tresnet_m_448	40.530	59.470	56.700	43.300	31.39	448	0.875	bilinear	-54.130	-42.450	-61
115	dla169	40.493	59.507	57.263	42.737	53.39	224	0.875	bilinear	-53.307	-41.647	-8
116	regnetx_320	40.443	59.557	55.660	44.340	107.81	224	0.875	bicubic	-53.767	-43.390	-43
117	skresnet34	40.397	59.603	56.737	43.263	22.28	224	0.875	bicubic	-52.173	-41.783	+64
118	efficientnet_b2_pruned	40.383	59.617	56.537	43.463	8.31	260	0.890	bicubic	-53.417	-42.303	-12
119	wide_resnet101_2	40.360	59.640	55.780	44.220	126.89	224	0.875	bilinear	-53.370	-43.030	-4
120	tf_efficientnet_b0_ap	40.337	59.663	56.787	43.213	5.29	224	0.875	bicubic	-52.273	-41.583	+59
121	xception65	40.273	59.727	55.283	44.717	39.92	299	0.903	bicubic	-53.487	-43.577	-8
122	regnetx_160	40.270	59.730	56.050	43.950	54.28	224	0.875	bicubic	-53.610	-43.040	-22
123	densenet201	40.267	59.733	56.710	43.290	20.01	224	0.875	bicubic	-52.423	-41.940	+53
124	resnext50d_32x4d	40.170	59.830	55.487	44.513	25.05	224	0.875	bicubic	-53.640	-43.253	-19
125	hrnet_w48	40.093	59.907	56.640	43.360	77.47	224	0.875	bilinear	-53.937	-42.400	-35
126	hrnet_w30	40.030	59.970	57.093	42.907	37.71	224	0.875	bilinear	-53.340	-41.737	+19
127	regnetx_080	40.000	60.000	55.977	44.023	39.57	224	0.875	bicubic	-53.790	-42.933	-19
128	tf_efficientnet_b1	39.977	60.023	56.137	43.863	7.79	240	0.882	bicubic	-53.733	-42.663	-10
129	gluon_resnet101_v1c	39.953	60.047	55.300	44.700	44.57	224	0.875	bicubic	-53.737	-43.460	-10
130	res2net101_26w_4s	39.717	60.283	54.550	45.450	45.21	224	0.875	bilinear	-53.803	-44.050	+6
131	regnetx_120	39.687	60.313	55.633	44.367	46.11	224	0.875	bicubic	-54.583	-43.557	-62
132	hrnet_w44	39.677	60.323	55.333	44.667	67.06	224	0.875	bilinear	-53.943	-43.627	-5
133	densenet161	39.620	60.380	56.133	43.867	28.68	224	0.875	bicubic	-53.280	-42.587	+35
134	mixnet_xl	39.617	60.383	55.887	44.113	11.90	224	0.875	bicubic	-54.613	-42.933	-62
135	xception41	39.610	60.390	55.037	44.963	26.97	299	0.903	bicubic	-53.870	-43.713	+3
136	res2net50_26w_8s	39.603	60.397	54.550	45.450	48.40	224	0.875	bilinear	-53.847	-44.150	+7
137	tf_efficientnet_el	39.563	60.437	55.310	44.690	10.59	300	0.904	bicubic	-54.887	-43.770	-77
138	dla102x	39.553	60.447	56.323	43.677	26.31	224	0.875	bilinear	-53.977	-42.527	-4
139	rexnet_130	39.487	60.513	56.640	43.360	7.56	224	0.875	bicubic	-54.183	-42.070	-18
140	hrnet_w32	39.463	60.537	56.123	43.877	41.23	224	0.875	bilinear	-53.487	-42.717	+23
141	regnety_064	39.403	60.597	55.773	44.227	30.58	224	0.875	bicubic	-54.737	-43.257	-60
142	densenetblur121d	39.380	60.620	56.640	43.360	8.00	224	0.875	bicubic	-53.020	-41.770	+46
143	regnety_120	39.347	60.653	55.277	44.723	51.82	224	0.875	bicubic	-54.663	-43.743	-52
144	resnet101	39.307	60.693	55.803	44.197	44.55	224	0.875	bilinear	-53.573	-42.857	+25
145	regnety_160	39.260	60.740	55.433	44.567	83.59	224	0.875	bicubic	-54.860	-43.587	-60
146	tf_inception_v3	39.237	60.763	54.300	45.700	23.83	299	0.875	bicubic	-53.963	-44.180	+5
147	gluon_resnet50_v1s	39.233	60.767	55.010	44.990	25.68	224	0.875	bicubic	-54.357	-43.830	-18
148	densenet169	39.167	60.833	55.843	44.157	14.15	224	0.875	bicubic	-53.133	-42.747	+43
149	efficientnet_b1_pruned	39.010	60.990	55.647	44.353	6.33	240	0.882	bicubic	-53.970	-42.883	+12
150	inception_v3	38.960	61.040	53.853	46.147	23.83	299	0.875	bicubic	-53.940	-44.957	+16
151	dpn68	38.933	61.067	54.933	45.067	12.61	224	0.875	bicubic	-53.307	-43.677	+42
152	regnety_080	38.917	61.083	55.213	44.787	39.18	224	0.875	bicubic	-54.973	-43.787	-55
153	dla102	38.833	61.167	55.323	44.677	33.27	224	0.875	bilinear	-54.427	-43.457	-7
154	regnety_040	38.820	61.180	55.557	44.443	20.65	224	0.875	bicubic	-54.800	-43.393	-26
155	densenet121	38.783	61.217	56.273	43.727	7.98	224	0.875	bicubic	-53.157	-42.007	+44
156	res2net50_14w_8s	38.710	61.290	54.077	45.923	25.06	224	0.875	bilinear	-54.320	-44.623	+1
157	regnetx_040	38.703	61.297	55.340	44.660	22.12	224	0.875	bicubic	-54.977	-43.600	-37
158	res2net50_26w_6s	38.687	61.313	53.743	46.257	37.05	224	0.875	bilinear	-54.903	-45.007	-28
159	regnetx_032	38.680	61.320	55.157	44.843	15.30	224	0.875	bicubic	-54.570	-43.573	-11
160	wide_resnet50_2	38.637	61.363	54.467	45.533	68.88	224	0.875	bilinear	-54.823	-44.483	-18
161	selecsls60	38.623	61.377	55.630	44.370	30.67	224	0.875	bicubic	-54.387	-43.200	-2
162	dla60x	38.617	61.383	55.383	44.617	17.35	224	0.875	bilinear	-54.573	-43.327	-10
163	tf_efficientnet_b0	38.600	61.400	55.957	44.043	5.29	224	0.875	bicubic	-53.800	-42.513	+26
164	dla60_res2net	38.590	61.410	54.560	45.440	20.85	224	0.875	bilinear	-54.790	-44.300	-20
165	selecsls60b	38.573	61.427	55.307	44.693	32.77	224	0.875	bicubic	-54.927	-43.533	-28
166	dla60_res2next	38.450	61.550	54.950	45.050	17.03	224	0.875	bilinear	-55.120	-43.850	-35
167	regnetx_064	38.430	61.570	54.990	45.010	26.21	224	0.875	bicubic	-55.200	-44.060	-43
168	tf_efficientnet_cc_b0_4e	38.413	61.587	55.150	44.850	13.31	224	0.875	bicubic	-54.427	-43.290	+4
169	gluon_resnet50_v1b	38.407	61.593	54.833	45.167	25.56	224	0.875	bicubic	-54.153	-43.717	+13
170	hrnet_w18	38.277	61.723	55.643	44.357	21.30	224	0.875	bilinear	-54.483	-43.017	+5
171	regnety_032	38.170	61.830	54.367	45.633	19.44	224	0.875	bicubic	-55.290	-44.583	-31
172	mixnet_l	38.160	61.840	54.757	45.243	7.33	224	0.875	bicubic	-55.100	-43.943	-25
173	efficientnet_b1	37.843	62.157	53.640	46.360	7.79	240	0.875	bicubic	-55.217	-44.900	-18
174	gluon_resnet50_v1c	37.843	62.157	54.123	45.877	25.58	224	0.875	bicubic	-55.067	-44.587	-9
175	res2net50_26w_4s	37.827	62.173	53.073	46.927	25.70	224	0.875	bilinear	-55.353	-45.597	-22
176	efficientnet_es	37.770	62.230	54.967	45.033	5.44	224	0.875	bicubic	-55.140	-43.723	-12
177	resnest14d	37.767	62.233	56.470	43.530	10.61	224	0.875	bilinear	-53.363	-41.860	+42
178	tv_resnext50_32x4d	37.750	62.250	54.113	45.887	25.03	224	0.875	bilinear	-55.150	-44.217	-11
179	res2next50	37.477	62.523	52.853	47.147	24.67	224	0.875	bilinear	-55.673	-45.807	-25
180	resnet34	37.443	62.557	54.297	45.703	21.80	224	0.875	bilinear	-53.757	-43.943	+36
181	tf_efficientnet_em	37.283	62.717	54.220	45.780	6.90	240	0.882	bicubic	-56.187	-44.530	-42
182	res2net50_48w_2s	37.117	62.883	53.333	46.667	25.29	224	0.875	bilinear	-55.673	-45.137	-8
183	dla60	37.073	62.927	54.200	45.800	22.04	224	0.875	bilinear	-55.597	-44.430	-6
184	rexnet_100	37.063	62.937	54.020	45.980	4.80	224	0.875	bicubic	-55.787	-44.600	-13
185	regnety_016	37.017	62.983	54.093	45.907	11.20	224	0.875	bicubic	-55.983	-44.587	-25
186	tf_mixnet_l	36.987	63.013	52.583	47.417	7.33	224	0.875	bicubic	-56.053	-45.957	-30
187	tv_densenet121	36.810	63.190	54.033	45.967	7.98	224	0.875	bicubic	-54.590	-44.217	+22
188	tf_efficientnet_lite2	36.807	63.193	53.320	46.680	6.09	260	0.890	bicubic	-55.783	-45.230	-8
189	mobilenetv2_120d	36.780	63.220	54.047	45.953	5.83	224	0.875	bicubic	-55.830	-44.463	-11
190	tf_efficientnet_lite1	36.737	63.263	53.590	46.410	5.42	240	0.882	bicubic	-55.573	-44.900	0
191	regnetx_016	36.683	63.317	53.297	46.703	9.19	224	0.875	bicubic	-55.857	-45.253	-7
192	efficientnet_b0	36.600	63.400	53.497	46.503	5.29	224	0.875	bicubic	-55.880	-45.183	-7
193	skresnet18	36.320	63.680	54.197	45.803	11.96	224	0.875	bicubic	-53.840	-43.583	+35
194	tv_resnet50	36.177	63.823	52.803	47.197	25.56	224	0.875	bilinear	-55.963	-45.617	+2
195	tv_resnet34	36.087	63.913	53.533	46.467	21.80	224	0.875	bilinear	-54.203	-44.447	+32
196	mobilenetv2_140	36.000	64.000	53.943	46.057	6.11	224	0.875	bicubic	-56.030	-44.307	+1
197	tf_efficientnet_lite0	35.930	64.070	53.480	46.520	4.65	224	0.875	bicubic	-55.370	-44.610	+14
198	selecsls42b	35.813	64.187	52.487	47.513	32.46	224	0.875	bicubic	-56.667	-45.953	-12
199	gluon_resnet34_v1b	35.763	64.237	52.187	47.813	21.80	224	0.875	bicubic	-55.337	-45.993	+21
200	dla34	35.643	64.357	52.783	47.217	15.74	224	0.875	bilinear	-55.597	-45.397	+14
201	mixnet_m	35.640	64.360	52.430	47.570	5.01	224	0.875	bicubic	-56.630	-45.920	-9
202	efficientnet_lite0	35.620	64.380	53.657	46.343	4.65	224	0.875	bicubic	-55.640	-44.593	+11
203	ssl_resnet18	35.597	64.403	53.740	46.260	11.69	224	0.875	bilinear	-55.103	-44.280	+21
204	tf_efficientnet_es	35.563	64.437	52.790	47.210	5.44	224	0.875	bicubic	-56.987	-45.720	-21
205	mobilenetv3_rw	35.547	64.453	53.713	46.287	5.48	224	0.875	bicubic	-56.003	-44.557	0
206	mobilenetv2_110d	35.293	64.707	52.830	47.170	4.52	224	0.875	bicubic	-56.057	-45.360	+4
207	tf_mixnet_m	35.180	64.820	50.987	49.013	5.01	224	0.875	bicubic	-57.020	-47.433	-12
208	hrnet_w18_small_v2	35.173	64.827	52.440	47.560	15.60	224	0.875	bilinear	-55.997	-45.900	+10
209	ese_vovnet19b_dw	34.840	65.160	52.030	47.970	6.54	224	0.875	bicubic	-57.170	-46.480	-11
210	regnety_008	34.807	65.193	51.743	48.257	6.26	224	0.875	bicubic	-57.093	-46.677	-10
211	mobilenetv3_large_100	34.603	65.397	52.860	47.140	5.48	224	0.875	bicubic	-56.877	-45.460	-5
212	seresnext26d_32x4d	34.543	65.457	51.543	48.457	16.81	224	0.875	bicubic	-57.897	-46.997	-25
213	seresnext26tn_32x4d	34.540	65.460	51.377	48.623	16.81	224	0.875	bicubic	-58.280	-47.183	-40
214	resnet26d	34.273	65.727	51.687	48.313	16.01	224	0.875	bicubic	-57.957	-46.763	-20
215	fbnetc_100	34.253	65.747	51.180	48.820	5.57	224	0.875	bilinear	-57.017	-46.650	-3
216	seresnext26t_32x4d	34.210	65.790	51.460	48.540	16.82	224	0.875	bicubic	-58.750	-47.020	-54
217	regnety_006	34.150	65.850	51.277	48.723	6.06	224	0.875	bicubic	-57.420	-47.153	-13
218	tf_mobilenetv3_large_100	33.950	66.050	51.490	48.510	5.48	224	0.875	bilinear	-57.470	-46.770	-10
219	regnetx_008	33.770	66.230	50.547	49.453	7.26	224	0.875	bicubic	-57.410	-47.833	-2
220	mnasnet_100	33.763	66.237	51.170	48.830	4.38	224	0.875	bicubic	-57.437	-46.880	-5
221	semnasnet_100	33.520	66.480	50.787	49.213	3.89	224	0.875	bicubic	-58.140	-47.483	-18
222	resnet26	33.500	66.500	50.927	49.073	16.00	224	0.875	bicubic	-57.940	-47.353	-15
223	mixnet_s	33.480	66.520	50.997	49.003	4.13	224	0.875	bicubic	-58.300	-47.303	-22
224	spnasnet_100	33.477	66.523	51.267	48.733	4.42	224	0.875	bilinear	-57.133	-46.683	+1
225	regnetx_006	33.157	66.843	50.250	49.750	6.20	224	0.875	bicubic	-57.603	-47.850	-2
226	resnet18	33.067	66.933	51.170	48.830	11.69	224	0.875	bilinear	-55.083	-45.950	+9
227	hrnet_w18_small	32.667	67.333	50.587	49.413	13.19	224	0.875	bilinear	-57.213	-47.313	+2
228	mobilenetv2_100	32.523	67.477	50.800	49.200	3.50	224	0.875	bicubic	-57.307	-47.030	+2
229	regnetx_004	32.517	67.483	49.343	50.657	5.16	224	0.875	bicubic	-56.943	-48.427	+2
230	gluon_resnet18_v1b	32.407	67.593	49.727	50.273	11.69	224	0.875	bicubic	-56.253	-47.373	+3
231	regnety_004	32.333	67.667	49.453	50.547	4.34	224	0.875	bicubic	-58.447	-48.627	-9
232	tf_mixnet_s	32.183	67.817	48.493	51.507	4.13	224	0.875	bicubic	-59.497	-49.747	-30
233	tf_mobilenetv3_large_075	31.867	68.133	49.110	50.890	3.99	224	0.875	bilinear	-58.453	-48.760	-7
234	tf_mobilenetv3_large_minimal_100	31.597	68.403	49.337	50.663	3.92	224	0.875	bilinear	-57.583	-47.983	-2
235	regnety_002	29.687	70.313	46.787	53.213	3.16	224	0.875	bicubic	-58.513	-50.643	-1
236	regnetx_002	28.860	71.140	45.420	54.580	2.68	224	0.875	bicubic	-58.520	-51.570	0
237	dla60x_c	28.447	71.553	46.193	53.807	1.32	224	0.875	bilinear	-58.663	-50.947	0
238	tf_mobilenetv3_small_100	27.297	72.703	44.420	55.580	2.54	224	0.875	bilinear	-58.663	-51.980	0
239	dla46x_c	26.217	73.783	43.780	56.220	1.07	224	0.875	bilinear	-59.263	-52.660	0
240	tf_mobilenetv3_small_075	26.200	73.800	43.637	56.363	2.04	224	0.875	bilinear	-58.330	-52.253	+1
241	dla46_c	25.490	74.510	43.800	56.200	1.30	224	0.875	bilinear	-59.170	-52.400	-1
242	tf_mobilenetv3_small_minimal_100	25.087	74.913	42.930	57.070	2.04	224	0.875	bilinear	-57.583	-52.070	0