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	79.737	20.263	89.450	10.550	828.41	224	0.875	bilinear	-17.243	-10.210	+4
3	ig_resnext101_32x32d	79.447	20.553	89.283	10.717	468.53	224	0.875	bilinear	-17.403	-10.237	+7
4	ig_resnext101_32x16d	78.963	21.037	88.437	11.563	194.03	224	0.875	bilinear	-17.417	-11.123	+19
5	tf_efficientnet_l2_ns_475	76.537	23.463	88.630	11.370	480.31	475	0.936	bicubic	-21.223	-11.190	-2
6	swsl_resnext101_32x16d	76.253	23.747	87.780	12.220	194.03	224	0.875	bilinear	-20.037	-11.760	+24
7	ig_resnext101_32x8d	75.897	24.103	86.193	13.807	88.79	224	0.875	bilinear	-19.983	-13.157	+35
8	swsl_resnext101_32x8d	75.463	24.537	86.840	13.160	88.79	224	0.875	bilinear	-20.807	-12.750	+24
9	tf_efficientnet_l2_ns	74.603	25.397	87.543	12.457	480.31	800	0.960	bicubic	-23.157	-12.337	-7
10	swsl_resnext101_32x4d	72.683	27.317	85.157	14.843	44.18	224	0.875	bilinear	-23.347	-14.383	+30
11	swsl_resnext50_32x4d	69.027	30.973	82.837	17.163	25.03	224	0.875	bilinear	-26.603	-16.613	+36
12	swsl_resnet50	68.220	31.780	83.330	16.670	25.56	224	0.875	bilinear	-27.070	-15.980	+47
13	tf_efficientnet_b7_ns	67.513	32.487	81.347	18.653	66.35	600	0.949	bicubic	-29.687	-18.353	-9
14	tf_efficientnet_b6_ns	65.577	34.423	79.537	20.463	43.04	528	0.942	bicubic	-31.433	-20.173	-9
15	tf_efficientnet_b5_ns	63.050	36.950	77.837	22.163	30.39	456	0.934	bicubic	-33.830	-21.803	-7
16	tf_efficientnet_b4_ns	61.277	38.723	76.220	23.780	19.34	380	0.922	bicubic	-35.403	-23.460	-2
17	tf_efficientnet_b8_ap	57.840	42.160	72.950	27.050	87.41	672	0.954	bicubic	-38.720	-26.590	0
18	tf_efficientnet_b3_ns	57.417	42.583	72.407	27.593	12.23	300	0.904	bicubic	-38.623	-27.053	+21
19	vit_large_patch16_384	54.773	45.227	70.040	29.960	304.72	384	1.000	bicubic	-41.607	-29.600	+5
20	vit_base_resnet50_384	54.390	45.610	69.590	30.410	98.95	384	1.000	bicubic	-42.070	-29.970	0
21	resnetv2_152x4_bitm	54.227	45.773	70.150	29.850	936.53	480	1.000	bilinear	-42.633	-29.510	-12
22	dm_nfnet_f6	54.077	45.923	69.017	30.983	438.36	576	0.956	bicubic	-42.893	-30.723	-15
23	tf_efficientnet_b5_ap	53.897	46.103	69.160	30.840	30.39	456	0.934	bicubic	-42.183	-30.380	+15
24	dm_nfnet_f5	53.723	46.277	68.493	31.507	377.21	544	0.954	bicubic	-42.997	-31.187	-12
25	tf_efficientnet_b6_ap	53.577	46.423	68.533	31.467	43.04	528	0.942	bicubic	-42.793	-31.017	0
26	tf_efficientnet_b2_ns	53.573	46.427	70.277	29.723	9.11	260	0.890	bicubic	-41.887	-29.113	+29
27	tf_efficientnet_b8	53.413	46.587	69.087	30.913	87.41	672	0.954	bicubic	-43.287	-30.433	-14
28	tf_efficientnet_b7_ap	53.267	46.733	68.873	31.127	66.35	600	0.949	bicubic	-43.083	-30.717	-1
29	dm_nfnet_f3	53.240	46.760	68.100	31.900	254.92	416	0.940	bicubic	-43.420	-31.540	-14
30	tf_efficientnet_b4_ap	53.060	46.940	68.157	31.843	19.34	380	0.922	bicubic	-42.460	-31.183	+22
31	tf_efficientnet_b7	52.417	47.583	68.210	31.790	66.35	600	0.949	bicubic	-44.163	-31.310	-15
32	swsl_resnet18	52.407	47.593	70.577	29.423	11.69	224	0.875	bilinear	-38.723	-27.653	+246
33	dm_nfnet_f4	52.290	47.710	67.093	32.907	316.07	512	0.951	bicubic	-44.510	-32.547	-22
34	vit_deit_base_distilled_patch16_384	52.277	47.723	67.727	32.273	87.63	384	1.000	bicubic	-44.213	-31.863	-15
35	ecaresnet269d	51.687	48.313	66.043	33.957	102.09	352	1.000	bicubic	-44.733	-33.597	-13
36	resnetv2_152x2_bitm	51.063	48.937	68.557	31.443	236.34	480	1.000	bilinear	-45.447	-31.063	-18
37	vit_large_patch16_224	50.967	49.033	66.170	33.830	304.33	224	0.900	bicubic	-44.313	-33.140	+25
38	tf_efficientnet_b1_ns	50.917	49.083	67.963	32.037	7.79	240	0.882	bicubic	-43.933	-31.277	+39
39	vit_base_patch16_384	50.907	49.093	65.270	34.730	86.86	384	1.000	bicubic	-45.283	-34.280	-6
40	ssl_resnext101_32x16d	50.327	49.673	65.977	34.023	194.03	224	0.875	bilinear	-45.143	-33.433	+14
41	resnest269e	50.323	49.677	64.713	35.287	110.93	416	0.928	bicubic	-45.817	-34.827	-7
42	tf_efficientnet_b3_ap	50.050	49.950	65.210	34.790	12.23	300	0.904	bicubic	-44.840	-33.920	+33
43	vit_deit_base_distilled_patch16_224	50.047	49.953	66.233	33.767	87.34	224	0.900	bicubic	-45.683	-33.057	+2
44	resnetv2_101x3_bitm	49.827	50.173	66.987	33.013	387.93	480	1.000	bilinear	-46.523	-32.613	-18
45	resnest200e	49.777	50.223	64.693	35.307	70.20	320	0.909	bicubic	-46.303	-34.757	-8
46	tf_efficientnet_b5	49.493	50.507	65.667	34.333	30.39	456	0.934	bicubic	-46.477	-33.793	-5
47	resnet200d	49.487	50.513	64.347	35.653	64.69	320	1.000	bicubic	-46.643	-35.093	-12
48	resnest101e	49.290	50.710	65.487	34.513	48.28	256	0.875	bilinear	-46.270	-33.793	+2
49	ssl_resnext101_32x8d	49.223	50.777	65.437	34.563	88.79	224	0.875	bilinear	-46.067	-33.793	+12
50	seresnet152d	49.213	50.787	64.167	35.833	66.84	320	1.000	bicubic	-47.067	-35.343	-19
51	resnet152d	49.193	50.807	64.413	35.587	60.21	320	1.000	bicubic	-46.677	-35.007	-8
52	repvgg_b3	48.993	51.007	64.860	35.140	123.09	224	0.875	bilinear	-45.637	-34.130	+35
53	dm_nfnet_f2	48.650	51.350	63.580	36.420	193.78	352	0.920	bicubic	-47.810	-36.090	-32
54	efficientnet_b3a	48.520	51.480	64.237	35.763	12.23	320	1.000	bicubic	-46.650	-34.983	+12
55	ecaresnet101d	48.507	51.493	64.200	35.800	44.57	224	0.875	bicubic	-46.703	-35.040	+10
56	repvgg_b3g4	48.277	51.723	64.747	35.253	83.83	224	0.875	bilinear	-46.293	-34.253	+33
57	vit_large_patch32_384	48.183	51.817	61.797	38.203	306.63	384	1.000	bicubic	-47.057	-37.513	+7
58	efficientnet_b3	48.147	51.853	64.093	35.907	12.23	300	0.904	bicubic	-46.743	-35.097	+16
59	repvgg_b2g4	47.783	52.217	64.430	35.570	61.76	224	0.875	bilinear	-46.107	-34.540	+90
60	resnest50d_4s2x40d	47.470	52.530	63.897	36.103	30.42	224	0.875	bicubic	-47.250	-35.233	+21
61	efficientnet_b3_pruned	47.423	52.577	62.810	37.190	9.86	300	0.904	bicubic	-47.127	-36.250	+30
62	tf_efficientnet_b6	47.220	52.780	63.103	36.897	43.04	528	0.942	bicubic	-49.100	-36.427	-33
63	vit_base_patch16_224	47.220	52.780	61.647	38.353	86.57	224	0.900	bicubic	-48.070	-37.703	-3
64	ssl_resnext101_32x4d	47.197	52.803	63.290	36.710	44.18	224	0.875	bilinear	-47.953	-36.030	+3
65	tf_efficientnet_b4	47.043	52.957	62.823	37.177	19.34	380	0.922	bicubic	-48.537	-36.467	-16
66	resnet101d	46.960	53.040	62.340	37.660	44.57	320	1.000	bicubic	-48.780	-37.080	-22
67	resnetv2_50x3_bitm	46.763	53.237	64.883	35.117	217.32	480	1.000	bilinear	-49.367	-34.737	-31
68	regnety_032	46.663	53.337	62.357	37.643	19.44	224	0.875	bicubic	-48.467	-36.863	0
69	dm_nfnet_f1	46.660	53.340	61.560	38.440	132.63	320	0.910	bicubic	-49.680	-37.900	-41
70	gluon_seresnext101_64x4d	46.617	53.383	61.373	38.627	88.23	224	0.875	bicubic	-47.883	-37.597	+22
71	tresnet_xl	46.280	53.720	62.017	37.983	78.44	224	0.875	bilinear	-48.710	-37.203	-1
72	vit_deit_small_distilled_patch16_224	46.153	53.847	62.463	37.537	22.44	224	0.900	bicubic	-48.417	-36.637	+18
73	resnest50d_1s4x24d	46.127	53.873	62.353	37.647	25.68	224	0.875	bicubic	-48.213	-36.707	+34
74	gernet_m	46.023	53.977	62.747	37.253	21.14	224	0.875	bilinear	-48.457	-36.163	+22
75	tf_efficientnet_b0_ns	45.993	54.007	63.237	36.763	5.29	224	0.875	bicubic	-47.587	-35.593	+103
76	resnest50d	45.817	54.183	62.650	37.350	27.48	224	0.875	bilinear	-48.673	-36.350	+19
77	gluon_seresnext101_32x4d	45.533	54.467	61.103	38.897	48.96	224	0.875	bicubic	-48.867	-38.007	+25
78	ssl_resnext50_32x4d	45.493	54.507	62.010	37.990	25.03	224	0.875	bilinear	-49.227	-37.180	+4
79	dm_nfnet_f0	45.447	54.553	61.010	38.990	71.49	256	0.900	bicubic	-50.203	-38.290	-33
80	gluon_resnet152_v1d	45.337	54.663	60.080	39.920	60.21	224	0.875	bicubic	-49.133	-38.910	+17
81	nasnetalarge	45.247	54.753	57.967	42.033	88.75	331	0.911	bicubic	-50.073	-41.173	-23
82	tresnet_xl_448	45.223	54.777	61.403	38.597	78.44	448	0.875	bilinear	-50.297	-38.017	-31
83	tf_efficientnet_b3	45.113	54.887	60.613	39.387	12.23	300	0.904	bicubic	-49.787	-38.527	-10
84	rexnet_200	45.093	54.907	62.343	37.657	16.37	224	0.875	bicubic	-49.507	-36.717	+4
85	ecaresnetlight	44.920	55.080	60.753	39.247	30.16	224	0.875	bicubic	-49.200	-38.187	+36
86	vit_deit_base_patch16_224	44.917	55.083	59.200	40.800	86.57	224	0.900	bicubic	-50.053	-39.800	-15
87	vit_deit_base_patch16_384	44.763	55.237	59.567	40.433	86.86	384	1.000	bicubic	-50.857	-39.673	-39
88	gernet_l	44.723	55.277	59.047	40.953	31.08	256	0.875	bilinear	-50.217	-40.133	-16
89	vit_base_patch32_384	44.690	55.310	58.527	41.473	88.30	384	1.000	bicubic	-50.580	-40.663	-26
90	tf_efficientnet_b2_ap	44.683	55.317	60.673	39.327	9.11	260	0.890	bicubic	-49.677	-38.297	+14
91	ens_adv_inception_resnet_v2	44.360	55.640	58.077	41.923	55.84	299	0.897	bicubic	-49.710	-40.713	+37
92	tresnet_l	44.353	55.647	59.907	40.093	55.99	224	0.875	bilinear	-50.477	-39.153	-14
93	wide_resnet50_2	44.287	55.713	59.620	40.380	68.88	224	0.875	bicubic	-50.403	-39.470	-10
94	gluon_resnext101_32x4d	44.180	55.820	59.077	40.923	44.18	224	0.875	bicubic	-50.010	-39.843	+23
95	cspresnext50	44.147	55.853	60.513	39.487	20.57	224	0.875	bilinear	-49.673	-38.327	+60
96	seresnext50_32x4d	44.133	55.867	59.403	40.597	27.56	224	0.875	bicubic	-50.637	-39.717	-17
97	gluon_resnet152_v1s	44.103	55.897	58.697	41.303	60.32	224	0.875	bicubic	-50.547	-40.373	-12
98	pnasnet5large	44.043	55.957	56.733	43.267	86.06	331	0.911	bicubic	-51.327	-42.387	-41
99	ssl_resnet50	44.020	55.980	61.947	38.053	25.56	224	0.875	bilinear	-50.230	-37.133	+14
100	inception_resnet_v2	43.910	56.090	57.870	42.130	55.84	299	0.897	bicubic	-50.350	-40.960	+11
101	ecaresnet50d	43.830	56.170	60.340	39.660	25.58	224	0.875	bicubic	-50.310	-38.600	+19
102	ecaresnet101d_pruned	43.810	56.190	59.653	40.347	24.88	224	0.875	bicubic	-50.650	-39.477	-4
103	gluon_resnext101_64x4d	43.790	56.210	58.703	41.297	83.46	224	0.875	bicubic	-50.560	-40.127	+2
104	rexnet_150	43.453	56.547	60.953	39.047	9.73	224	0.875	bicubic	-50.827	-38.067	+5
105	ecaresnet50t	43.440	56.560	59.350	40.650	25.57	320	0.950	bicubic	-51.640	-39.920	-36
106	gluon_resnet101_v1d	43.440	56.560	58.540	41.460	44.57	224	0.875	bicubic	-50.680	-40.380	+16
107	cspdarknet53	43.343	56.657	59.413	40.587	27.64	256	0.887	bilinear	-50.747	-39.557	+20
108	gluon_resnet101_v1s	43.260	56.740	58.507	41.493	44.67	224	0.875	bicubic	-51.030	-40.533	0
109	dpn68b	43.190	56.810	58.633	41.367	12.61	224	0.875	bicubic	-50.420	-40.137	+64
110	resnetv2_101x1_bitm	43.103	56.897	60.920	39.080	44.54	480	1.000	bilinear	-52.407	-38.600	-57
111	resnest26d	43.097	56.903	60.630	39.370	17.07	224	0.875	bilinear	-50.053	-38.270	+93
112	dpn131	43.033	56.967	57.493	42.507	79.25	224	0.875	bicubic	-50.737	-41.307	+47
113	cspresnet50	43.023	56.977	59.107	40.893	21.62	256	0.887	bilinear	-50.817	-39.793	+39
114	gluon_resnet152_v1c	42.937	57.063	57.803	42.197	60.21	224	0.875	bicubic	-50.963	-41.047	+31
115	tf_efficientnet_lite4	42.900	57.100	57.630	42.370	13.01	380	0.920	bilinear	-51.980	-41.480	-39
116	gluon_resnet152_v1b	42.890	57.110	57.580	42.420	60.19	224	0.875	bicubic	-51.110	-41.190	+18
117	dpn107	42.877	57.123	57.410	42.590	86.92	224	0.875	bicubic	-51.113	-41.460	+18
118	gluon_xception65	42.837	57.163	58.820	41.180	39.92	299	0.903	bicubic	-51.173	-40.190	+14
119	tf_efficientnet_b1_ap	42.803	57.197	58.840	41.160	7.79	240	0.882	bicubic	-50.877	-39.970	+48
120	tresnet_l_448	42.780	57.220	58.940	41.060	55.99	448	0.875	bilinear	-52.640	-40.360	-64
121	resnet50d	42.717	57.283	58.683	41.317	25.58	224	0.875	bicubic	-51.393	-40.277	+4
122	gluon_seresnext50_32x4d	42.680	57.320	58.620	41.380	27.56	224	0.875	bicubic	-51.360	-40.450	+7
123	tresnet_m	42.663	57.337	58.023	41.977	31.39	224	0.875	bilinear	-51.357	-40.797	+8
124	resnext101_32x8d	42.597	57.403	58.153	41.847	88.79	224	0.875	bilinear	-51.223	-40.797	+32
125	seresnet50	42.477	57.523	58.730	41.270	28.09	224	0.875	bicubic	-51.623	-40.250	+1
126	nf_resnet50	42.387	57.613	59.490	40.510	25.56	288	0.940	bicubic	-52.033	-39.610	-26
127	dpn98	42.313	57.687	56.830	43.170	61.57	224	0.875	bicubic	-51.587	-42.100	+17
128	tf_efficientnet_cc_b1_8e	42.220	57.780	58.433	41.567	39.72	240	0.882	bicubic	-51.340	-40.247	+54
129	vit_deit_small_patch16_224	42.200	57.800	57.930	42.070	22.05	224	0.900	bicubic	-51.690	-40.990	+19
130	legacy_senet154	42.163	57.837	56.650	43.350	115.09	224	0.875	bilinear	-52.597	-42.450	-50
131	resnet50	42.117	57.883	55.910	44.090	25.56	224	0.875	bicubic	-51.383	-42.670	+57
132	gluon_resnext50_32x4d	42.113	57.887	57.653	42.347	25.03	224	0.875	bicubic	-51.587	-41.047	+34
133	tf_efficientnet_b2	42.090	57.910	58.133	41.867	9.11	260	0.890	bicubic	-52.100	-40.897	-15
134	efficientnet_b2a	41.963	58.037	58.293	41.707	9.11	288	1.000	bicubic	-52.437	-40.757	-33
135	ecaresnet50d_pruned	41.937	58.063	58.330	41.670	19.94	224	0.875	bicubic	-51.903	-40.650	+18
136	gluon_senet154	41.683	58.317	56.383	43.617	115.09	224	0.875	bicubic	-52.967	-42.607	-50
137	dla102x2	41.607	58.393	57.960	42.040	41.28	224	0.875	bilinear	-52.433	-40.940	-7
138	efficientnet_b2	41.590	58.410	58.087	41.913	9.11	260	0.875	bicubic	-52.750	-41.033	-32
139	inception_v4	41.560	58.440	55.400	44.600	42.68	299	0.875	bicubic	-52.830	-43.430	-36
140	hrnet_w64	41.547	58.453	57.107	42.893	128.06	224	0.875	bilinear	-52.403	-41.853	-2
141	tf_efficientnet_cc_b0_8e	41.493	58.507	57.223	42.777	24.01	224	0.875	bicubic	-51.357	-41.257	+81
142	efficientnet_em	41.477	58.523	58.883	41.117	6.90	240	0.882	bicubic	-52.253	-40.057	+20
143	resnext50_32x4d	41.403	58.597	57.007	42.993	25.03	224	0.875	bicubic	-52.447	-41.783	+8
144	xception71	41.303	58.697	55.930	44.070	42.34	299	0.903	bicubic	-52.587	-42.860	+3
145	adv_inception_v3	41.263	58.737	56.327	43.673	23.83	299	0.875	bicubic	-51.697	-42.173	+72
146	tv_resnet152	41.263	58.737	57.510	42.490	60.19	224	0.875	bilinear	-51.957	-41.280	+52
147	gernet_s	41.210	58.790	58.700	41.300	8.17	224	0.875	bilinear	-51.270	-39.760	+93
148	dpn92	41.207	58.793	56.397	43.603	37.67	224	0.875	bicubic	-53.033	-42.553	-34
149	resnetblur50	41.073	58.927	56.980	43.020	25.56	224	0.875	bicubic	-52.657	-41.830	+14
150	nf_regnet_b1	40.993	59.007	58.110	41.890	10.22	288	0.900	bicubic	-52.897	-40.840	0
151	gluon_inception_v3	40.957	59.043	55.663	44.337	23.83	299	0.875	bicubic	-52.623	-43.347	+28
152	gluon_resnet50_v1d	40.930	59.070	57.180	42.820	25.58	224	0.875	bicubic	-52.600	-41.650	+33
153	resnet34d	40.910	59.090	56.503	43.497	21.82	224	0.875	bicubic	-51.700	-41.927	+82
154	ese_vovnet39b	40.863	59.137	56.943	43.057	24.57	224	0.875	bicubic	-53.077	-41.987	-15
155	regnety_320	40.773	59.227	56.200	43.800	145.05	224	0.875	bicubic	-53.727	-42.950	-62
156	skresnext50_32x4d	40.707	59.293	56.023	43.977	27.48	224	0.875	bicubic	-53.193	-42.777	-10
157	xception	40.687	59.313	56.333	43.667	22.86	299	0.897	bicubic	-52.993	-42.487	+11
158	gluon_resnet101_v1b	40.647	59.353	56.217	43.783	44.55	224	0.875	bicubic	-53.103	-42.583	+3
159	repvgg_b1	40.637	59.363	57.880	42.120	57.42	224	0.875	bilinear	-52.803	-40.860	+32
160	hrnet_w40	40.620	59.380	56.637	43.363	57.56	224	0.875	bilinear	-52.900	-42.173	+26
161	tf_efficientnet_lite3	40.607	59.393	56.537	43.463	8.20	300	0.904	bilinear	-53.533	-42.493	-42
162	tresnet_m_448	40.517	59.483	56.667	43.333	31.39	448	0.875	bilinear	-54.153	-42.473	-78
163	repvgg_b2	40.470	59.530	57.810	42.190	89.02	224	0.875	bilinear	-53.120	-41.280	+12
164	dla169	40.447	59.553	57.207	42.793	53.39	224	0.875	bilinear	-53.223	-41.683	+5
165	regnetx_320	40.440	59.560	55.640	44.360	107.81	224	0.875	bicubic	-53.790	-43.420	-49
166	legacy_seresnext101_32x4d	40.413	59.587	54.847	45.153	48.96	224	0.875	bilinear	-53.697	-44.103	-43
167	tf_efficientnet_b0_ap	40.333	59.667	56.850	43.150	5.29	224	0.875	bicubic	-52.237	-41.560	+70
168	skresnet34	40.297	59.703	56.840	43.160	22.28	224	0.875	bicubic	-52.043	-41.680	+75
169	efficientnet_b2_pruned	40.297	59.703	56.500	43.500	8.31	260	0.890	bicubic	-53.623	-42.410	-26
170	wide_resnet101_2	40.257	59.743	55.690	44.310	126.89	224	0.875	bilinear	-53.583	-43.110	-16
171	regnetx_160	40.247	59.753	56.033	43.967	54.28	224	0.875	bicubic	-53.763	-43.087	-38
172	xception65	40.243	59.757	55.243	44.757	39.92	299	0.903	bicubic	-53.567	-43.607	-15
173	hrnet_w48	40.207	59.793	56.510	43.490	77.47	224	0.875	bilinear	-53.723	-42.510	-33
174	densenet201	40.200	59.800	56.693	43.307	20.01	224	0.875	bicubic	-52.460	-41.987	+58
175	vit_small_patch16_224	40.150	59.850	56.563	43.437	48.75	224	0.900	bicubic	-52.470	-41.837	+59
176	hrnet_w30	40.147	59.853	57.083	42.917	37.71	224	0.875	bilinear	-53.223	-41.797	+17
177	resnext50d_32x4d	40.120	59.880	55.503	44.497	25.05	224	0.875	bicubic	-53.870	-43.287	-41
178	gluon_resnet101_v1c	40.043	59.957	55.203	44.797	44.57	224	0.875	bicubic	-53.707	-43.517	-18
179	tf_efficientnet_b1	39.973	60.027	56.087	43.913	7.79	240	0.882	bicubic	-53.737	-42.713	-14
180	regnetx_080	39.963	60.037	55.920	44.080	39.57	224	0.875	bicubic	-53.947	-42.990	-37
181	legacy_seresnet152	39.940	60.060	55.787	44.213	66.82	224	0.875	bilinear	-53.390	-42.973	+14
182	res2net101_26w_4s	39.757	60.243	54.563	45.437	45.21	224	0.875	bilinear	-53.833	-44.137	-5
183	hrnet_w44	39.723	60.277	55.357	44.643	67.06	224	0.875	bilinear	-53.937	-43.573	-13
184	densenet161	39.697	60.303	56.183	43.817	28.68	224	0.875	bicubic	-53.293	-42.597	+28
185	mixnet_xl	39.650	60.350	55.873	44.127	11.90	224	0.875	bicubic	-54.600	-42.967	-73
186	res2net50_26w_8s	39.610	60.390	54.533	45.467	48.40	224	0.875	bilinear	-53.980	-44.177	-10
187	xception41	39.583	60.417	54.993	45.007	26.97	299	0.903	bicubic	-53.927	-43.757	0
188	regnetx_120	39.580	60.420	55.680	44.320	46.11	224	0.875	bicubic	-54.660	-43.510	-73
189	dla102x	39.513	60.487	56.313	43.687	26.31	224	0.875	bilinear	-54.017	-42.547	-5
190	hrnet_w32	39.503	60.497	56.057	43.943	41.23	224	0.875	bilinear	-53.497	-42.803	+21
191	rexnet_130	39.397	60.603	56.647	43.353	7.56	224	0.875	bicubic	-54.223	-42.073	-19
192	regnety_120	39.357	60.643	55.270	44.730	51.82	224	0.875	bicubic	-54.603	-43.790	-55
193	regnety_064	39.317	60.683	55.823	44.177	30.58	224	0.875	bicubic	-54.793	-43.197	-69
194	tv_resnet101	39.297	60.703	55.773	44.227	44.55	224	0.875	bilinear	-53.643	-42.867	+25
195	densenetblur121d	39.290	60.710	56.577	43.423	8.00	224	0.875	bicubic	-53.020	-41.813	+51
196	tf_efficientnet_el	39.287	60.713	55.347	44.653	10.59	300	0.904	bicubic	-55.163	-43.753	-97
197	gluon_resnet50_v1s	39.283	60.717	55.003	44.997	25.68	224	0.875	bicubic	-54.277	-43.817	-17
198	regnety_160	39.270	60.730	55.450	44.550	83.59	224	0.875	bicubic	-55.010	-43.620	-88
199	tf_inception_v3	39.247	60.753	54.237	45.763	23.83	299	0.875	bicubic	-53.953	-44.273	+1
200	densenet169	39.120	60.880	55.850	44.150	14.15	224	0.875	bicubic	-53.080	-42.720	+50
201	efficientnet_b1_pruned	39.027	60.973	55.623	44.377	6.33	240	0.882	bicubic	-53.973	-42.897	+9
202	legacy_seresnet101	39.017	60.983	55.027	44.973	49.33	224	0.875	bilinear	-54.233	-43.733	-5
203	repvgg_b1g4	38.997	61.003	56.370	43.630	39.97	224	0.875	bilinear	-53.943	-42.430	+15
204	dpn68	38.983	61.017	54.897	45.103	12.61	224	0.875	bicubic	-53.307	-43.683	+43
205	inception_v3	38.973	61.027	53.840	46.160	23.83	299	0.875	bicubic	-53.997	-44.490	+11
206	regnety_080	38.947	61.053	55.203	44.797	39.18	224	0.875	bicubic	-54.853	-43.797	-49
207	legacy_seresnext50_32x4d	38.947	61.053	54.637	45.363	27.56	224	0.875	bilinear	-54.613	-44.113	-25
208	regnety_040	38.857	61.143	55.627	44.373	20.65	224	0.875	bicubic	-54.743	-43.363	-34
209	regnetx_032	38.777	61.223	55.257	44.743	15.30	224	0.875	bicubic	-54.573	-43.403	-15
210	regnetx_040	38.743	61.257	55.340	44.660	22.12	224	0.875	bicubic	-54.967	-43.540	-46
211	densenet121	38.730	61.270	56.310	43.690	7.98	224	0.875	bicubic	-53.220	-41.870	+45
212	res2net50_14w_8s	38.713	61.287	54.023	45.977	25.06	224	0.875	bilinear	-54.267	-44.597	+2
213	res2net50_26w_6s	38.697	61.303	53.787	46.213	37.05	224	0.875	bilinear	-54.853	-45.013	-30
214	dla102	38.677	61.323	55.250	44.750	33.27	224	0.875	bilinear	-54.593	-43.550	-18
215	dla60x	38.663	61.337	55.463	44.537	17.35	224	0.875	bilinear	-54.417	-43.247	-9
216	tf_efficientnet_b0	38.653	61.347	55.967	44.033	5.29	224	0.875	bicubic	-53.707	-42.503	+27
217	dla60_res2net	38.623	61.377	54.710	45.290	20.85	224	0.875	bilinear	-54.817	-44.160	-27
218	selecsls60b	38.617	61.383	55.373	44.627	32.77	224	0.875	bicubic	-54.833	-43.477	-29
219	selecsls60	38.607	61.393	55.567	44.433	30.67	224	0.875	bicubic	-54.373	-43.183	-4
220	repvgg_a2	38.567	61.433	55.827	44.173	28.21	224	0.875	bilinear	-54.133	-42.773	+10
221	regnetx_064	38.563	61.437	54.940	45.060	26.21	224	0.875	bicubic	-55.077	-44.100	-50
222	tf_efficientnet_cc_b0_4e	38.487	61.513	55.157	44.843	13.31	224	0.875	bicubic	-54.253	-43.393	+4
223	dla60_res2next	38.453	61.547	54.860	45.140	17.03	224	0.875	bilinear	-54.917	-43.960	-31
224	gluon_resnet50_v1b	38.410	61.590	54.833	45.167	25.56	224	0.875	bicubic	-54.320	-43.727	+4
225	resnetv2_50x1_bitm	38.330	61.670	56.980	43.020	25.55	480	1.000	bilinear	-56.170	-42.280	-131
226	hrnet_w18	38.267	61.733	55.633	44.367	21.30	224	0.875	bilinear	-54.593	-43.057	-5
227	mixnet_l	38.123	61.877	54.793	45.207	7.33	224	0.875	bicubic	-55.027	-43.887	-24
228	efficientnet_es	37.850	62.150	54.893	45.107	5.44	224	0.875	bicubic	-55.160	-43.847	-20
229	efficientnet_b1	37.800	62.200	53.637	46.363	7.79	240	0.875	bicubic	-55.300	-44.953	-24
230	res2net50_26w_4s	37.780	62.220	53.120	46.880	25.70	224	0.875	bilinear	-55.430	-45.510	-31
231	resnest14d	37.763	62.237	56.503	43.497	10.61	224	0.875	bilinear	-53.407	-41.797	+45
232	gluon_resnet50_v1c	37.717	62.283	54.100	45.900	25.58	224	0.875	bicubic	-55.273	-44.540	-19
233	ecaresnet26t	37.663	62.337	54.447	45.553	16.01	320	0.950	bicubic	-56.257	-44.493	-92
234	tv_resnext50_32x4d	37.623	62.377	54.100	45.900	25.03	224	0.875	bilinear	-55.317	-44.620	-14
235	res2next50	37.523	62.477	52.810	47.190	24.67	224	0.875	bilinear	-55.657	-45.860	-34
236	resnet34	37.410	62.590	54.327	45.673	21.80	224	0.875	bilinear	-53.920	-43.833	+34
237	res2net50_48w_2s	37.247	62.753	53.293	46.707	25.29	224	0.875	bilinear	-55.423	-45.167	-6
238	regnety_016	37.157	62.843	54.107	45.893	11.20	224	0.875	bicubic	-55.913	-44.633	-31
239	rexnet_100	37.063	62.937	54.073	45.927	4.80	224	0.875	bicubic	-55.697	-44.557	-14
240	tf_mixnet_l	37.040	62.960	52.543	47.457	7.33	224	0.875	bicubic	-55.970	-45.997	-31
241	dla60	37.027	62.973	54.283	45.717	22.04	224	0.875	bilinear	-55.683	-44.367	-12
242	mobilenetv2_120d	36.790	63.210	53.987	46.013	5.83	224	0.875	bicubic	-55.980	-44.493	-18
243	legacy_seresnet50	36.787	63.213	53.363	46.637	28.09	224	0.875	bilinear	-56.033	-45.287	-20
244	tv_densenet121	36.763	63.237	54.057	45.943	7.98	224	0.875	bicubic	-54.667	-44.223	+22
245	tf_efficientnet_lite1	36.750	63.250	53.487	46.513	5.42	240	0.882	bicubic	-55.580	-45.023	0
246	regnetx_016	36.707	63.293	53.350	46.650	9.19	224	0.875	bicubic	-55.913	-45.180	-13
247	tf_efficientnet_lite2	36.700	63.300	53.277	46.723	6.09	260	0.890	bicubic	-55.890	-45.293	-11
248	efficientnet_b0	36.487	63.513	53.487	46.513	5.29	224	0.875	bicubic	-56.063	-45.153	-10
249	tf_efficientnet_em	36.343	63.657	52.767	47.233	6.90	240	0.882	bicubic	-56.817	-45.903	-47
250	skresnet18	36.210	63.790	54.160	45.840	11.96	224	0.875	bicubic	-53.970	-43.700	+40
251	repvgg_b0	36.197	63.803	53.873	46.127	15.82	224	0.875	bilinear	-55.403	-44.577	+10
252	legacy_seresnet34	36.193	63.807	52.517	47.483	21.96	224	0.875	bilinear	-55.337	-45.803	+12
253	tv_resnet50	36.110	63.890	52.737	47.263	25.56	224	0.875	bilinear	-56.070	-45.683	-2
254	vit_deit_tiny_distilled_patch16_224	36.027	63.973	54.237	45.763	5.91	224	0.900	bicubic	-55.093	-44.073	+26
255	tv_resnet34	36.023	63.977	53.493	46.507	21.80	224	0.875	bilinear	-54.367	-44.437	+33
256	mobilenetv2_140	35.997	64.003	53.997	46.003	6.11	224	0.875	bicubic	-56.113	-44.253	-4
257	tf_efficientnet_lite0	35.993	64.007	53.410	46.590	4.65	224	0.875	bicubic	-55.287	-44.650	+15
258	selecsls42b	35.790	64.210	52.427	47.573	32.46	224	0.875	bicubic	-56.680	-46.083	-17
259	gluon_resnet34_v1b	35.730	64.270	52.170	47.830	21.80	224	0.875	bicubic	-55.290	-45.970	+23
260	efficientnet_lite0	35.643	64.357	53.657	46.343	4.65	224	0.875	bicubic	-55.577	-44.533	+14
261	ssl_resnet18	35.637	64.363	53.873	46.127	11.69	224	0.875	bilinear	-55.203	-44.147	+23
262	mobilenetv3_rw	35.580	64.420	53.667	46.333	5.48	224	0.875	bicubic	-55.970	-44.673	+1
263	mixnet_m	35.570	64.430	52.423	47.577	5.01	224	0.875	bicubic	-56.640	-45.937	-14
264	dla34	35.567	64.433	52.770	47.230	15.74	224	0.875	bilinear	-55.663	-45.370	+9
265	mobilenetv2_110d	35.337	64.663	52.850	47.150	4.52	224	0.875	bicubic	-55.763	-45.290	+16
266	tf_mixnet_m	35.163	64.837	51.053	48.947	5.01	224	0.875	bicubic	-57.107	-47.437	-19
267	hrnet_w18_small_v2	35.163	64.837	52.423	47.577	15.60	224	0.875	bilinear	-56.127	-45.977	+5
268	resnet18d	34.993	65.007	52.877	47.123	11.71	224	0.875	bicubic	-54.867	-45.023	+24
269	ese_vovnet19b_dw	34.870	65.130	52.063	47.937	6.54	224	0.875	bicubic	-57.220	-46.447	-15
270	regnety_008	34.700	65.300	51.767	48.233	6.26	224	0.875	bicubic	-57.110	-46.643	-13
271	seresnext26d_32x4d	34.590	65.410	51.547	48.453	16.81	224	0.875	bicubic	-57.850	-47.003	-29
272	mobilenetv3_large_100	34.573	65.427	52.797	47.203	5.48	224	0.875	bicubic	-56.917	-45.513	-7
273	seresnext26t_32x4d	34.493	65.507	51.317	48.683	16.81	224	0.875	bicubic	-58.247	-47.203	-46
274	resnet26d	34.313	65.687	51.677	48.323	16.01	224	0.875	bicubic	-57.787	-46.783	-21
275	tf_efficientnet_es	34.247	65.753	51.357	48.643	5.44	224	0.875	bicubic	-57.833	-47.103	-20
276	regnety_006	34.243	65.757	51.323	48.677	6.06	224	0.875	bicubic	-57.327	-47.067	-14
277	fbnetc_100	34.220	65.780	51.183	48.817	5.57	224	0.875	bilinear	-56.920	-46.687	0
278	tf_mobilenetv3_large_100	33.993	66.007	51.397	48.603	5.48	224	0.875	bilinear	-57.417	-46.893	-11
279	regnetx_008	33.750	66.250	50.490	49.510	7.26	224	0.875	bicubic	-57.590	-47.860	-10
280	mnasnet_100	33.677	66.323	51.113	48.887	4.38	224	0.875	bicubic	-57.533	-46.917	-5
281	semnasnet_100	33.567	66.433	50.670	49.330	3.89	224	0.875	bicubic	-58.053	-47.640	-21
282	spnasnet_100	33.517	66.483	51.297	48.703	4.42	224	0.875	bilinear	-57.123	-46.623	+4
283	mixnet_s	33.503	66.497	51.047	48.953	4.13	224	0.875	bicubic	-58.297	-47.283	-25
284	resnet26	33.477	66.523	50.923	49.077	16.00	224	0.875	bicubic	-57.913	-47.437	-16
285	vgg19_bn	33.187	66.813	50.840	49.160	143.68	224	0.875	bilinear	-57.933	-47.320	-6
286	regnetx_006	33.173	66.827	50.267	49.733	6.20	224	0.875	bicubic	-57.747	-47.803	-3
287	resnet18	33.103	66.897	51.120	48.880	11.69	224	0.875	bilinear	-54.947	-45.990	+17
288	legacy_seresnext26_32x4d	32.823	67.177	49.200	50.800	16.79	224	0.875	bicubic	-59.707	-49.250	-49
289	vit_deit_tiny_patch16_224	32.757	67.243	50.273	49.727	5.72	224	0.900	bicubic	-56.873	-47.657	+6
290	hrnet_w18_small	32.677	67.323	50.637	49.363	13.19	224	0.875	bilinear	-56.963	-47.203	+4
291	legacy_seresnet18	32.660	67.340	50.277	49.723	11.78	224	0.875	bicubic	-56.630	-47.513	+7
292	gluon_resnet18_v1b	32.477	67.523	49.817	50.183	11.69	224	0.875	bicubic	-56.293	-47.263	+9
293	mobilenetv2_100	32.473	67.527	50.823	49.177	3.50	224	0.875	bicubic	-57.417	-47.027	-2
294	regnetx_004	32.457	67.543	49.383	50.617	5.16	224	0.875	bicubic	-57.153	-48.397	+2
295	regnety_004	32.370	67.630	49.390	50.610	4.34	224	0.875	bicubic	-58.380	-48.680	-10
296	tf_mixnet_s	32.143	67.857	48.447	51.553	4.13	224	0.875	bicubic	-59.517	-49.713	-37
297	tf_mobilenetv3_large_075	31.803	68.197	49.040	50.960	3.99	224	0.875	bilinear	-58.557	-48.800	-8
298	tf_mobilenetv3_large_minimal_100	31.653	68.347	49.397	50.603	3.92	224	0.875	bilinear	-57.637	-47.983	+1
299	vgg16_bn	30.383	69.617	47.363	52.637	138.37	224	0.875	bilinear	-60.237	-50.687	-12
300	regnety_002	29.733	70.267	46.833	53.167	3.16	224	0.875	bicubic	-58.447	-50.597	+3
301	vgg13_bn	28.860	71.140	46.617	53.383	133.05	224	0.875	bilinear	-60.340	-51.023	-1
302	regnetx_002	28.843	71.157	45.480	54.520	2.68	224	0.875	bicubic	-58.367	-51.420	+5
303	vgg19	28.490	71.510	45.117	54.883	143.67	224	0.875	bilinear	-61.200	-52.463	-10
304	vgg11_bn	28.443	71.557	46.400	53.600	132.87	224	0.875	bilinear	-59.867	-50.890	-2
305	dla60x_c	28.297	71.703	46.123	53.877	1.32	224	0.875	bilinear	-58.893	-50.967	+3
306	vgg16	27.870	72.130	44.650	55.350	138.36	224	0.875	bilinear	-61.620	-52.880	-9
307	tf_mobilenetv3_small_100	27.293	72.707	44.540	55.460	2.54	224	0.875	bilinear	-58.577	-51.770	+2
308	vgg11	26.487	73.513	43.400	56.600	132.86	224	0.875	bilinear	-60.883	-53.610	-2
309	vgg13	26.307	73.693	43.460	56.540	133.05	224	0.875	bilinear	-61.253	-53.700	-4
310	tf_mobilenetv3_small_075	26.217	73.783	43.683	56.317	2.04	224	0.875	bilinear	-58.553	-52.197	+1
311	dla46x_c	26.193	73.807	43.830	56.170	1.07	224	0.875	bilinear	-59.497	-52.630	-1
312	dla46_c	25.437	74.563	43.840	56.160	1.30	224	0.875	bilinear	-59.253	-52.380	0
313	tf_mobilenetv3_small_minimal_100	25.123	74.877	42.900	57.100	2.04	224	0.875	bilinear	-57.647	-52.180	0