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	79.730	20.270	89.517	10.483	828.41	224	0.875	bilinear	-17.480	-10.183	+2
3	ig_resnext101_32x32d	79.520	20.480	89.227	10.773	468.53	224	0.875	bilinear	-17.360	-10.433	+4
4	ig_resnext101_32x16d	78.830	21.170	88.463	11.537	194.03	224	0.875	bilinear	-17.660	-11.157	+10
5	tf_efficientnet_l2_ns_475	76.367	23.633	88.540	11.460	480.31	475	0.936	bicubic	-19.573	-10.860	-4
6	swsl_resnext101_32x16d	76.220	23.780	87.747	12.253	194.03	224	0.875	bilinear	-20.060	-11.773	+15
7	ig_resnext101_32x8d	75.897	24.103	86.253	13.747	88.79	224	0.875	bilinear	-20.083	-13.197	+25
8	swsl_resnext101_32x8d	75.590	24.410	87.043	12.957	88.79	224	0.875	bilinear	-20.680	-12.457	+14
9	tf_efficientnet_l2_ns	74.623	25.377	87.497	12.503	480.31	800	0.960	bicubic	-21.707	-12.013	-9
10	swsl_resnext101_32x4d	72.700	27.300	85.193	14.807	44.18	224	0.875	bilinear	-23.380	-14.347	+20
11	swsl_resnext50_32x4d	69.103	30.897	82.880	17.120	25.03	224	0.875	bilinear	-26.507	-16.560	+26
12	swsl_resnet50	68.357	31.643	83.383	16.617	25.56	224	0.875	bilinear	-26.863	-15.857	+40
13	tf_efficientnet_b7_ns	67.040	32.960	81.090	18.910	66.35	600	0.949	bicubic	-30.730	-18.800	-11
14	tf_efficientnet_b6_ns	65.460	34.540	79.447	20.553	43.04	528	0.942	bicubic	-32.290	-20.373	-11
15	tf_efficientnet_b5_ns	62.890	37.110	77.720	22.280	30.39	456	0.934	bicubic	-34.070	-21.950	-9
16	tf_efficientnet_b4_ns	61.087	38.913	76.060	23.940	19.34	380	0.922	bicubic	-35.793	-23.580	-8
17	tf_efficientnet_b8_ap	57.870	42.130	72.940	27.060	87.41	672	0.954	bicubic	-38.830	-26.610	-6
18	tf_efficientnet_b3_ns	57.323	42.677	72.387	27.613	12.23	300	0.904	bicubic	-38.787	-27.073	+9
19	vit_large_patch16_384	54.803	45.197	70.107	29.893	304.72	384	1.000	bicubic	-41.627	-29.433	-3
20	vit_base_resnet50_384	54.333	45.667	69.503	30.497	98.95	384	1.000	bicubic	-42.227	-30.047	-7
21	resnetv2_152x4_bitm	54.170	45.830	70.257	29.743	936.53	480	1.000	bilinear	-42.860	-29.453	-16
22	tf_efficientnet_b5_ap	53.920	46.080	69.190	30.810	30.39	456	0.934	bicubic	-42.160	-30.280	+7
23	tf_efficientnet_b6_ap	53.563	46.437	68.580	31.420	43.04	528	0.942	bicubic	-42.817	-31.020	-6
24	tf_efficientnet_b2_ns	53.507	46.493	70.393	29.607	9.11	260	0.890	bicubic	-42.023	-28.947	+16
25	tf_efficientnet_b7_ap	53.320	46.680	68.900	31.100	66.35	600	0.949	bicubic	-43.040	-30.650	-7
26	tf_efficientnet_b8	53.203	46.797	68.957	31.043	87.41	672	0.954	bicubic	-43.577	-30.573	-17
27	tf_efficientnet_b4_ap	53.073	46.927	68.230	31.770	19.34	380	0.922	bicubic	-42.427	-31.160	+16
28	tf_efficientnet_b7	52.303	47.697	68.227	31.773	66.35	600	0.949	bicubic	-44.407	-31.413	-18
29	swsl_resnet18	52.243	47.757	70.503	29.497	11.69	224	0.875	bilinear	-38.847	-27.707	+220
30	vit_base_patch16_384	51.037	48.963	65.390	34.610	86.86	384	1.000	bicubic	-45.133	-34.230	-6
31	resnetv2_152x2_bitm	50.950	49.050	68.580	31.420	236.34	480	1.000	bilinear	-45.630	-30.930	-19
32	vit_large_patch16_224	50.937	49.063	66.340	33.660	304.33	224	0.900	bicubic	-44.353	-32.970	+16
33	tf_efficientnet_b1_ns	50.770	49.230	67.960	32.040	7.79	240	0.882	bicubic	-44.110	-31.290	+30
34	ssl_resnext101_32x16d	50.227	49.773	66.093	33.907	194.03	224	0.875	bilinear	-45.173	-33.317	+11
35	seresnet152d	50.183	49.817	65.123	34.877	66.84	256	0.940	bicubic	-45.757	-34.267	+33
36	resnest269e	50.133	49.867	64.713	35.287	110.93	416	0.928	bicubic	-46.037	-34.807	-10
37	tf_efficientnet_b3_ap	50.093	49.907	65.277	34.723	12.23	300	0.904	bicubic	-44.867	-33.833	+24
38	resnet200d	49.850	50.150	64.730	35.270	64.69	256	0.940	bicubic	-45.850	-34.610	-1
39	resnest200e	49.807	50.193	64.780	35.220	70.20	320	0.909	bicubic	-46.303	-34.690	-10
40	resnetv2_101x3_bitm	49.683	50.317	67.137	32.863	387.93	480	1.000	bilinear	-46.787	-32.523	-24
41	resnet152d	49.637	50.363	64.740	35.260	60.21	256	0.940	bicubic	-45.833	-34.560	+4
42	tf_efficientnet_b5	49.497	50.503	65.597	34.403	30.39	456	0.934	bicubic	-46.563	-33.943	-10
43	resnet200d_320	49.437	50.563	64.300	35.700	64.69	320	1.000	bicubic	-46.683	-35.220	-16
44	resnest101e	49.380	50.620	65.527	34.473	48.28	256	0.875	bilinear	-46.210	-33.743	-5
45	resnet152d_320	49.267	50.733	64.427	35.573	60.21	320	1.000	bicubic	-46.583	-35.003	-10
46	seresnet152d_320	49.220	50.780	64.273	35.727	66.84	320	1.000	bicubic	-47.140	-35.357	+18
47	ssl_resnext101_32x8d	49.140	50.860	65.507	34.493	88.79	224	0.875	bilinear	-46.190	-33.813	+2
48	efficientnet_b3a	48.573	51.427	64.343	35.657	12.23	320	1.000	bicubic	-46.577	-34.867	+10
49	ecaresnet101d	48.473	51.527	64.087	35.913	44.57	224	0.875	bicubic	-46.687	-35.143	+7
50	efficientnet_b3	48.227	51.773	64.183	35.817	12.23	300	0.904	bicubic	-46.743	-35.057	+11
51	resnest50d_4s2x40d	47.500	52.500	63.867	36.133	30.42	224	0.875	bicubic	-47.210	-35.263	+19
52	efficientnet_b3_pruned	47.463	52.537	62.850	37.150	9.86	300	0.904	bicubic	-47.117	-36.220	+26
53	vit_base_patch16_224	47.413	52.587	61.683	38.317	86.57	224	0.900	bicubic	-47.807	-37.717	0
54	resnet101d	47.227	52.773	62.793	37.207	44.57	256	0.940	bicubic	-48.053	-36.467	-3
55	ssl_resnext101_32x4d	47.177	52.823	63.397	36.603	44.18	224	0.875	bilinear	-47.983	-35.903	+2
56	tf_efficientnet_b6	47.153	52.847	63.057	36.943	43.04	528	0.942	bicubic	-49.197	-36.543	-34
57	tf_efficientnet_b4	47.040	52.960	62.903	37.097	19.34	380	0.922	bicubic	-48.550	-36.417	-16
58	resnet101d_320	46.907	53.093	62.360	37.640	44.57	320	1.000	bicubic	-48.843	-37.080	-21
59	resnetv2_50x3_bitm	46.857	53.143	64.907	35.093	217.32	480	1.000	bilinear	-49.363	-34.683	-34
60	gluon_seresnext101_64x4d	46.690	53.310	61.357	38.643	88.23	224	0.875	bicubic	-47.940	-37.613	+16
61	regnety_032	46.643	53.357	62.210	37.790	19.44	224	0.875	bicubic	-48.427	-37.000	-2
62	tresnet_xl	46.280	53.720	61.903	38.097	78.44	224	0.875	bilinear	-48.790	-37.347	-2
63	resnest50d_1s4x24d	46.130	53.870	62.480	37.520	25.68	224	0.875	bicubic	-48.260	-36.580	+22
64	tf_efficientnet_b0_ns	46.047	53.953	63.280	36.720	5.29	224	0.875	bicubic	-47.713	-35.700	+71
65	resnest50d	45.883	54.117	62.673	37.327	27.48	224	0.875	bilinear	-48.737	-36.357	+12
66	gluon_seresnext101_32x4d	45.517	54.483	61.150	38.850	48.96	224	0.875	bicubic	-48.913	-37.940	+18
67	gluon_resnet152_v1d	45.423	54.577	60.097	39.903	60.21	224	0.875	bicubic	-49.027	-38.903	+15
68	ssl_resnext50_32x4d	45.370	54.630	61.983	38.017	25.03	224	0.875	bilinear	-49.330	-37.067	+3
69	nasnetalarge	45.200	54.800	57.960	42.040	88.75	331	0.911	bicubic	-49.970	-41.170	-14
70	tresnet_xl_448	45.157	54.843	61.440	38.560	78.44	448	0.875	bilinear	-50.363	-37.900	-27
71	tf_efficientnet_b3	45.103	54.897	60.680	39.320	12.23	300	0.904	bicubic	-49.807	-38.420	-8
72	rexnet_200	45.070	54.930	62.223	37.777	16.37	224	0.875	bicubic	-49.600	-36.867	+1
73	ecaresnetlight	44.910	55.090	60.770	39.230	30.16	224	0.875	bicubic	-49.230	-38.180	+29
74	vit_base_patch32_384	44.793	55.207	58.577	41.423	88.30	384	1.000	bicubic	-50.457	-40.603	-22
75	tf_efficientnet_b2_ap	44.740	55.260	60.700	39.300	9.11	260	0.890	bicubic	-49.530	-38.250	+17
76	tresnet_l	44.357	55.643	59.953	40.047	55.99	224	0.875	bilinear	-50.543	-39.077	-12
77	gluon_resnext101_32x4d	44.330	55.670	59.097	40.903	44.18	224	0.875	bicubic	-49.790	-39.833	+27
78	cspresnext50	44.167	55.833	60.447	39.553	20.57	224	0.875	bilinear	-49.583	-38.393	+58
79	wide_resnet50_2	44.167	55.833	59.680	40.320	68.88	224	0.875	bicubic	-50.493	-39.370	-4
80	gluon_resnet152_v1s	44.083	55.917	58.740	41.260	60.32	224	0.875	bicubic	-50.617	-40.500	-8
81	seresnext50_32x4d	44.077	55.923	59.427	40.573	27.56	224	0.875	bicubic	-50.733	-39.703	-14
82	gluon_resnext101_64x4d	43.893	56.107	58.713	41.287	83.46	224	0.875	bicubic	-50.437	-40.167	+6
83	ssl_resnet50	43.887	56.113	61.933	38.067	25.56	224	0.875	bilinear	-50.433	-37.227	+6
84	ecaresnet101d_pruned	43.787	56.213	59.650	40.350	24.88	224	0.875	bicubic	-50.653	-39.450	-1
85	ecaresnet50d	43.700	56.300	60.380	39.620	25.58	224	0.875	bicubic	-50.500	-38.640	+10
86	rexnet_150	43.580	56.420	60.840	39.160	9.73	224	0.875	bicubic	-50.700	-38.250	+5
87	gluon_resnet101_v1d	43.420	56.580	58.560	41.440	44.57	224	0.875	bicubic	-50.740	-40.390	+14
88	gluon_resnet101_v1s	43.407	56.593	58.700	41.300	44.67	224	0.875	bicubic	-50.773	-40.210	+11
89	cspdarknet53	43.340	56.660	59.483	40.517	27.64	256	0.887	bilinear	-50.760	-39.497	+18
90	dpn68b	43.263	56.737	58.607	41.393	12.61	224	0.875	bicubic	-50.337	-40.103	+62
91	cspresnet50	43.130	56.870	59.213	40.787	21.62	256	0.887	bilinear	-50.720	-39.687	+33
92	resnest26d	43.110	56.890	60.590	39.410	17.07	224	0.875	bilinear	-50.150	-38.250	+82
93	resnetv2_101x1_bitm	43.043	56.957	60.910	39.090	44.54	480	1.000	bilinear	-52.457	-38.600	-49
94	dpn131	43.020	56.980	57.430	42.570	79.25	224	0.875	bicubic	-50.740	-41.380	+40
95	gluon_resnet152_v1b	42.980	57.020	57.730	42.270	60.19	224	0.875	bicubic	-51.040	-41.300	+19
96	dpn107	42.890	57.110	57.527	42.473	86.92	224	0.875	bicubic	-51.070	-41.323	+20
97	tf_efficientnet_lite4	42.850	57.150	57.710	42.290	13.01	380	0.920	bilinear	-52.020	-41.380	-31
98	gluon_resnet152_v1c	42.840	57.160	57.797	42.203	60.21	224	0.875	bicubic	-51.030	-41.003	+24
99	tf_efficientnet_b1_ap	42.827	57.173	58.850	41.150	7.79	240	0.882	bicubic	-50.813	-39.930	+50
100	tresnet_l_448	42.787	57.213	58.940	41.060	55.99	448	0.875	bilinear	-52.613	-40.340	-52
101	gluon_xception65	42.730	57.270	58.870	41.130	39.92	299	0.903	bicubic	-51.300	-40.160	+11
102	resnet50d	42.700	57.300	58.770	41.230	25.58	224	0.875	bicubic	-51.370	-40.150	+8
103	tresnet_m	42.690	57.310	58.213	41.787	31.39	224	0.875	bilinear	-51.390	-40.617	+6
104	gluon_seresnext50_32x4d	42.687	57.313	58.717	41.283	27.56	224	0.875	bicubic	-51.493	-40.303	-6
105	resnext101_32x8d	42.573	57.427	58.357	41.643	88.79	224	0.875	bilinear	-51.197	-40.593	+28
106	seresnet50	42.493	57.507	58.770	41.230	28.09	224	0.875	bicubic	-51.587	-40.200	+2
107	legacy_senet154	42.290	57.710	56.563	43.437	115.09	224	0.875	bilinear	-52.440	-42.537	-39
108	dpn98	42.277	57.723	56.933	43.067	61.57	224	0.875	bicubic	-51.673	-41.987	+9
109	tf_efficientnet_cc_b1_8e	42.277	57.723	58.523	41.477	39.72	240	0.882	bicubic	-51.303	-40.167	+46
110	tf_efficientnet_b2	42.197	57.803	58.207	41.793	9.11	260	0.890	bicubic	-52.003	-40.823	-13
111	gluon_resnext50_32x4d	42.107	57.893	57.683	42.317	25.03	224	0.875	bicubic	-51.563	-41.017	+34
112	resnet50	42.043	57.957	56.093	43.907	25.56	224	0.875	bicubic	-51.437	-42.667	+51
113	ecaresnet50d_pruned	42.000	58.000	58.330	41.670	19.94	224	0.875	bicubic	-51.820	-40.670	+14
114	efficientnet_b2a	41.940	58.060	58.303	41.697	9.11	288	1.000	bicubic	-52.430	-40.747	-28
115	gluon_senet154	41.700	58.300	56.477	43.523	115.09	224	0.875	bicubic	-53.010	-42.493	-46
116	dla102x2	41.670	58.330	58.033	41.967	41.28	224	0.875	bilinear	-52.350	-40.707	-1
117	efficientnet_b2	41.660	58.340	58.057	41.943	9.11	260	0.875	bicubic	-52.680	-41.043	-30
118	hrnet_w64	41.623	58.377	57.177	42.823	128.06	224	0.875	bilinear	-52.227	-41.743	+7
119	tf_efficientnet_cc_b0_8e	41.533	58.467	57.393	42.607	24.01	224	0.875	bicubic	-51.327	-41.067	+76
120	efficientnet_em	41.477	58.523	58.877	41.123	6.90	240	0.882	bicubic	-52.273	-40.043	+17
121	resnext50_32x4d	41.367	58.633	56.950	43.050	25.03	224	0.875	bicubic	-52.483	-41.880	+5
122	tv_resnet152	41.317	58.683	57.587	42.413	60.19	224	0.875	bilinear	-51.933	-41.163	+53
123	xception71	41.297	58.703	55.940	44.060	42.34	299	0.903	bicubic	-52.603	-43.010	-3
124	dpn92	41.257	58.743	56.327	43.673	37.67	224	0.875	bicubic	-52.943	-42.603	-30
125	adv_inception_v3	41.220	58.780	56.360	43.640	23.83	299	0.875	bicubic	-51.770	-42.120	+60
126	resnetblur50	41.077	58.923	57.080	42.920	25.56	224	0.875	bicubic	-52.633	-41.720	+16
127	gluon_resnet50_v1d	41.010	58.990	57.147	42.853	25.58	224	0.875	bicubic	-52.540	-41.563	+31
128	ese_vovnet39b	40.887	59.113	57.020	42.980	24.57	224	0.875	bicubic	-52.963	-41.860	-5
129	gluon_inception_v3	40.880	59.120	55.670	44.330	23.83	299	0.875	bicubic	-52.710	-43.170	+24
130	resnet34d	40.853	59.147	56.523	43.477	21.82	224	0.875	bicubic	-51.787	-41.917	+74
131	regnety_320	40.837	59.163	56.180	43.820	145.05	224	0.875	bicubic	-53.663	-42.990	-51
132	xception	40.793	59.207	56.510	43.490	22.86	299	0.897	bicubic	-52.857	-42.280	+16
133	gluon_resnet101_v1b	40.707	59.293	56.180	43.820	44.55	224	0.875	bicubic	-53.063	-42.530	-1
134	skresnext50_32x4d	40.700	59.300	56.013	43.987	27.48	224	0.875	bicubic	-53.250	-42.807	-16
135	hrnet_w40	40.663	59.337	56.863	43.137	57.56	224	0.875	bilinear	-53.047	-41.937	+6
136	tf_efficientnet_lite3	40.613	59.387	56.567	43.433	8.20	300	0.904	bilinear	-53.507	-42.393	-31
137	regnetx_320	40.533	59.467	55.663	44.337	107.81	224	0.875	bicubic	-53.667	-43.387	-41
138	dla169	40.513	59.487	57.317	42.683	53.39	224	0.875	bilinear	-53.267	-41.523	-7
139	tresnet_m_448	40.510	59.490	56.667	43.333	31.39	448	0.875	bilinear	-54.160	-42.503	-65
140	wide_resnet101_2	40.467	59.533	55.873	44.127	126.89	224	0.875	bilinear	-53.263	-42.937	-1
141	efficientnet_b2_pruned	40.460	59.540	56.607	43.393	8.31	260	0.890	bicubic	-53.340	-42.113	-12
142	skresnet34	40.377	59.623	56.797	43.203	22.28	224	0.875	bicubic	-52.183	-41.753	+68
143	tf_efficientnet_b0_ap	40.363	59.637	56.830	43.170	5.29	224	0.875	bicubic	-52.237	-41.540	+64
144	regnetx_160	40.350	59.650	56.090	43.910	54.28	224	0.875	bicubic	-53.540	-42.990	-23
145	legacy_seresnext101_32x4d	40.323	59.677	54.843	45.157	48.96	224	0.875	bilinear	-53.847	-44.127	-45
146	xception65	40.317	59.683	55.270	44.730	39.92	299	0.903	bicubic	-53.433	-43.600	-8
147	densenet201	40.300	59.700	56.763	43.237	20.01	224	0.875	bicubic	-52.390	-41.867	+55
148	hrnet_w48	40.157	59.843	56.597	43.403	77.47	224	0.875	bilinear	-53.873	-42.433	-35
149	resnext50d_32x4d	40.153	59.847	55.587	44.413	25.05	224	0.875	bicubic	-53.647	-43.323	-21
150	legacy_seresnet152	40.060	59.940	55.887	44.113	66.82	224	0.875	bilinear	-53.400	-42.963	+15
151	tf_efficientnet_b1	40.043	59.957	56.213	43.787	7.79	240	0.882	bicubic	-53.667	-42.587	-11
152	vit_small_patch16_224	40.043	59.957	56.507	43.493	48.75	224	0.900	bicubic	-52.567	-41.883	+54
153	hrnet_w30	40.010	59.990	57.107	42.893	37.71	224	0.875	bilinear	-53.380	-41.723	+16
154	regnetx_080	39.977	60.023	56.063	43.937	39.57	224	0.875	bicubic	-53.813	-42.847	-24
155	gluon_resnet101_v1c	39.957	60.043	55.253	44.747	44.57	224	0.875	bicubic	-53.703	-43.507	-9
156	res2net101_26w_4s	39.720	60.280	54.610	45.390	45.21	224	0.875	bilinear	-53.800	-44.020	+3
157	regnetx_120	39.710	60.290	55.687	44.313	46.11	224	0.875	bicubic	-54.590	-43.513	-67
158	res2net50_26w_8s	39.680	60.320	54.543	45.457	48.40	224	0.875	bilinear	-53.770	-44.167	+8
159	hrnet_w44	39.667	60.333	55.317	44.683	67.06	224	0.875	bilinear	-53.963	-43.633	-9
160	xception41	39.657	60.343	54.983	45.017	26.97	299	0.903	bicubic	-53.823	-43.607	+1
161	tf_efficientnet_el	39.603	60.397	55.337	44.663	10.59	300	0.904	bicubic	-54.867	-43.743	-80
162	dla102x	39.590	60.410	56.343	43.657	26.31	224	0.875	bilinear	-53.920	-42.507	-2
163	densenet161	39.587	60.413	56.180	43.820	28.68	224	0.875	bicubic	-53.293	-42.480	+31
164	mixnet_xl	39.550	60.450	55.837	44.163	11.90	224	0.875	bicubic	-54.670	-42.983	-71
165	hrnet_w32	39.523	60.477	56.263	43.737	41.23	224	0.875	bilinear	-53.427	-42.577	+23
166	rexnet_130	39.477	60.523	56.640	43.360	7.56	224	0.875	bicubic	-54.203	-42.310	-23
167	regnety_064	39.397	60.603	55.807	44.193	30.58	224	0.875	bicubic	-54.743	-43.223	-64
168	regnety_120	39.367	60.633	55.343	44.657	51.82	224	0.875	bicubic	-54.693	-43.677	-57
169	tf_inception_v3	39.350	60.650	54.373	45.627	23.83	299	0.875	bicubic	-53.860	-44.347	+7
170	densenetblur121d	39.317	60.683	56.643	43.357	8.00	224	0.875	bicubic	-53.083	-41.777	+47
171	tv_resnet101	39.300	60.700	55.850	44.150	44.55	224	0.875	bilinear	-53.580	-42.960	+22
172	gluon_resnet50_v1s	39.290	60.710	55.103	44.897	25.68	224	0.875	bicubic	-54.300	-43.727	-18
173	regnety_160	39.273	60.727	55.387	44.613	83.59	224	0.875	bicubic	-54.837	-43.623	-67
174	densenet169	39.177	60.823	55.850	44.150	14.15	224	0.875	bicubic	-53.123	-42.740	+46
175	legacy_seresnet101	39.127	60.873	55.103	44.897	49.33	224	0.875	bilinear	-54.153	-43.647	-4
176	regnety_080	38.977	61.023	55.187	44.813	39.18	224	0.875	bicubic	-54.923	-43.803	-57
177	dpn68	38.973	61.027	54.977	45.023	12.61	224	0.875	bicubic	-53.277	-43.623	+45
178	efficientnet_b1_pruned	38.967	61.033	55.620	44.380	6.33	240	0.882	bicubic	-54.003	-42.900	+9
179	inception_v3	38.960	61.040	53.850	46.150	23.83	299	0.875	bicubic	-53.940	-44.470	+13
180	legacy_seresnext50_32x4d	38.890	61.110	54.650	45.350	27.56	224	0.875	bilinear	-54.510	-44.150	-13
181	dla102	38.887	61.113	55.337	44.663	33.27	224	0.875	bilinear	-54.413	-43.443	-11
182	regnety_040	38.830	61.170	55.600	44.400	20.65	224	0.875	bicubic	-54.780	-43.360	-31
183	regnetx_040	38.807	61.193	55.490	44.510	22.12	224	0.875	bicubic	-54.873	-43.230	-39
184	regnetx_032	38.763	61.237	55.147	44.853	15.30	224	0.875	bicubic	-54.507	-43.593	-11
185	densenet121	38.753	61.247	56.247	43.753	7.98	224	0.875	bicubic	-53.187	-42.033	+43
186	res2net50_14w_8s	38.720	61.280	54.203	45.797	25.06	224	0.875	bilinear	-54.290	-44.497	-3
187	dla60_res2net	38.687	61.313	54.620	45.380	20.85	224	0.875	bilinear	-54.703	-44.220	-19
188	res2net50_26w_6s	38.653	61.347	53.810	46.190	37.05	224	0.875	bilinear	-54.917	-44.940	-32
189	selecsls60	38.627	61.373	55.697	44.303	30.67	224	0.875	bicubic	-54.383	-43.133	-5
190	dla60x	38.610	61.390	55.490	44.510	17.35	224	0.875	bilinear	-54.600	-42.990	-13
191	selecsls60b	38.583	61.417	55.333	44.667	32.77	224	0.875	bicubic	-54.897	-43.507	-29
192	tf_efficientnet_b0	38.540	61.460	56.077	43.923	5.29	224	0.875	bicubic	-53.860	-42.393	+26
193	dla60_res2next	38.530	61.470	55.007	44.993	17.03	224	0.875	bilinear	-55.030	-43.793	-36
194	regnetx_064	38.507	61.493	55.030	44.970	26.21	224	0.875	bicubic	-55.143	-44.020	-47
195	gluon_resnet50_v1b	38.457	61.543	54.907	45.093	25.56	224	0.875	bicubic	-54.093	-43.643	+17
196	tf_efficientnet_cc_b0_4e	38.423	61.577	55.203	44.797	13.31	224	0.875	bicubic	-54.417	-43.237	+1
197	hrnet_w18	38.387	61.613	55.757	44.243	21.30	224	0.875	bilinear	-54.373	-42.893	+3
198	resnetv2_50x1_bitm	38.300	61.700	57.023	42.977	25.55	480	1.000	bilinear	-56.230	-42.217	-119
199	mixnet_l	38.230	61.770	54.847	45.153	7.33	224	0.875	bicubic	-55.050	-43.863	-27
200	gluon_resnet50_v1c	37.867	62.133	54.150	45.850	25.58	224	0.875	bicubic	-55.043	-44.560	-10
201	efficientnet_b1	37.857	62.143	53.743	46.257	7.79	240	0.875	bicubic	-55.203	-44.787	-21
202	efficientnet_es	37.837	62.163	54.980	45.020	5.44	224	0.875	bicubic	-55.093	-43.700	-13
203	res2net50_26w_4s	37.823	62.177	53.097	46.903	25.70	224	0.875	bilinear	-55.357	-45.573	-25
204	resnest14d	37.790	62.210	56.580	43.420	10.61	224	0.875	bilinear	-53.350	-41.770	+45
205	tv_resnext50_32x4d	37.790	62.210	54.153	45.847	25.03	224	0.875	bilinear	-55.120	-44.577	-14
206	res2next50	37.537	62.463	52.863	47.137	24.67	224	0.875	bilinear	-55.593	-45.797	-27
207	resnet34	37.490	62.510	54.327	45.673	21.80	224	0.875	bilinear	-53.700	-43.903	+40
208	tf_efficientnet_em	37.313	62.687	54.230	45.770	6.90	240	0.882	bicubic	-56.157	-44.520	-44
209	regnety_016	37.147	62.853	54.150	45.850	11.20	224	0.875	bicubic	-55.883	-44.540	-27
210	res2net50_48w_2s	37.137	62.863	53.410	46.590	25.29	224	0.875	bilinear	-55.663	-45.050	-12
211	dla60	37.117	62.883	54.293	45.707	22.04	224	0.875	bilinear	-55.573	-44.367	-10
212	rexnet_100	37.063	62.937	54.070	45.930	4.80	224	0.875	bicubic	-55.787	-44.550	-16
213	tf_mixnet_l	37.047	62.953	52.710	47.290	7.33	224	0.875	bicubic	-56.003	-45.830	-32
214	legacy_seresnet50	36.933	63.067	53.520	46.480	28.09	224	0.875	bilinear	-55.737	-45.140	-11
215	tf_efficientnet_lite2	36.887	63.113	53.360	46.640	6.09	260	0.890	bicubic	-55.693	-45.190	-6
216	regnetx_016	36.767	63.233	53.287	46.713	9.19	224	0.875	bicubic	-55.793	-45.223	-5
217	tv_densenet121	36.753	63.247	54.003	45.997	7.98	224	0.875	bicubic	-54.637	-44.247	+22
218	mobilenetv2_120d	36.710	63.290	53.953	46.047	5.83	224	0.875	bicubic	-55.900	-44.567	-13
219	tf_efficientnet_lite1	36.667	63.333	53.687	46.313	5.42	240	0.882	bicubic	-55.653	-44.803	0
220	efficientnet_b0	36.613	63.387	53.493	46.507	5.29	224	0.875	bicubic	-55.857	-45.187	-5
221	skresnet18	36.343	63.657	54.257	45.743	11.96	224	0.875	bicubic	-53.817	-43.523	+37
222	legacy_seresnet34	36.150	63.850	52.543	47.457	21.96	224	0.875	bilinear	-55.320	-45.657	+14
223	tv_resnet50	36.143	63.857	52.873	47.127	25.56	224	0.875	bilinear	-55.987	-45.547	+2
224	tv_resnet34	36.060	63.940	53.527	46.473	21.80	224	0.875	bilinear	-54.250	-44.443	+33
225	tf_efficientnet_lite0	36.020	63.980	53.530	46.470	4.65	224	0.875	bicubic	-55.260	-44.560	+16
226	mobilenetv2_140	35.980	64.020	53.927	46.073	6.11	224	0.875	bicubic	-56.060	-44.323	0
227	selecsls42b	35.830	64.170	52.550	47.450	32.46	224	0.875	bicubic	-56.650	-45.890	-13
228	gluon_resnet34_v1b	35.747	64.253	52.290	47.710	21.80	224	0.875	bicubic	-55.343	-45.890	+22
229	mixnet_m	35.680	64.320	52.443	47.557	5.01	224	0.875	bicubic	-56.580	-45.927	-8
230	dla34	35.647	64.353	52.813	47.187	15.74	224	0.875	bilinear	-55.613	-45.367	+12
231	efficientnet_lite0	35.643	64.357	53.697	46.303	4.65	224	0.875	bicubic	-55.617	-44.553	+12
232	ssl_resnet18	35.637	64.363	53.817	46.183	11.69	224	0.875	bilinear	-55.063	-44.213	+22
233	mobilenetv3_rw	35.617	64.383	53.740	46.260	5.48	224	0.875	bicubic	-55.943	-44.530	+1
234	tf_efficientnet_es	35.593	64.407	52.930	47.070	5.44	224	0.875	bicubic	-56.947	-45.580	-21
235	mobilenetv2_110d	35.287	64.713	52.820	47.180	4.52	224	0.875	bicubic	-56.043	-45.370	+5
236	hrnet_w18_small_v2	35.217	64.783	52.527	47.473	15.60	224	0.875	bilinear	-55.953	-45.833	+12
237	tf_mixnet_m	35.210	64.790	50.977	49.023	5.01	224	0.875	bicubic	-56.960	-47.443	-13
238	resnet18d	35.120	64.880	52.880	47.120	11.71	224	0.875	bicubic	-54.880	-44.960	+21
239	regnety_008	34.883	65.117	51.857	48.143	6.26	224	0.875	bicubic	-57.007	-46.563	-10
240	ese_vovnet19b_dw	34.837	65.163	51.990	48.010	6.54	224	0.875	bicubic	-57.183	-46.530	-13
241	mobilenetv3_large_100	34.577	65.423	52.913	47.087	5.48	224	0.875	bicubic	-56.903	-45.417	-6
242	seresnext26tn_32x4d	34.567	65.433	51.470	48.530	16.81	224	0.875	bicubic	-58.203	-47.080	-43
243	seresnext26d_32x4d	34.513	65.487	51.563	48.437	16.81	224	0.875	bicubic	-57.927	-46.977	-27
244	resnet26d	34.330	65.670	51.843	48.157	16.01	224	0.875	bicubic	-57.900	-46.627	-21
245	fbnetc_100	34.323	65.677	51.240	48.760	5.57	224	0.875	bilinear	-56.937	-46.580	-1
246	regnety_006	34.233	65.767	51.300	48.700	6.06	224	0.875	bicubic	-57.357	-47.130	-13
247	seresnext26t_32x4d	34.197	65.803	51.420	48.580	16.82	224	0.875	bicubic	-58.783	-47.060	-61
248	tf_mobilenetv3_large_100	33.990	66.010	51.530	48.470	5.48	224	0.875	bilinear	-57.420	-46.720	-10
249	mnasnet_100	33.850	66.150	51.247	48.753	4.38	224	0.875	bicubic	-57.350	-46.793	-3
250	regnetx_008	33.720	66.280	50.587	49.413	7.26	224	0.875	bicubic	-57.490	-47.783	-5
251	resnet26	33.583	66.417	51.017	48.983	16.00	224	0.875	bicubic	-57.867	-47.263	-14
252	mixnet_s	33.577	66.423	51.033	48.967	4.13	224	0.875	bicubic	-58.203	-47.267	-22
253	semnasnet_100	33.553	66.447	50.843	49.157	3.89	224	0.875	bicubic	-58.107	-47.417	-21
254	spnasnet_100	33.507	66.493	51.310	48.690	4.42	224	0.875	bilinear	-57.113	-46.640	+1
255	regnetx_006	33.213	66.787	50.297	49.703	6.20	224	0.875	bicubic	-57.537	-47.803	-2
256	resnet18	33.043	66.957	51.133	48.867	11.69	224	0.875	bilinear	-55.127	-45.987	+11
257	legacy_seresnext26_32x4d	32.747	67.253	49.207	50.793	16.79	224	0.875	bicubic	-59.833	-49.223	-49
258	hrnet_w18_small	32.723	67.277	50.677	49.323	13.19	224	0.875	bilinear	-57.177	-47.223	+2
259	legacy_seresnet18	32.633	67.367	50.360	49.640	11.78	224	0.875	bicubic	-56.627	-47.330	+4
260	mobilenetv2_100	32.580	67.420	50.860	49.140	3.50	224	0.875	bicubic	-57.260	-46.980	+1
261	regnetx_004	32.567	67.433	49.407	50.593	5.16	224	0.875	bicubic	-56.883	-48.373	+1
262	regnety_004	32.403	67.597	49.503	50.497	4.34	224	0.875	bicubic	-58.357	-48.577	-10
263	gluon_resnet18_v1b	32.397	67.603	49.707	50.293	11.69	224	0.875	bicubic	-56.273	-47.403	+2
264	tf_mixnet_s	32.230	67.770	48.607	51.393	4.13	224	0.875	bicubic	-59.460	-49.633	-33
265	tf_mobilenetv3_large_075	31.947	68.053	49.137	50.863	3.99	224	0.875	bilinear	-58.363	-48.743	-9
266	tf_mobilenetv3_large_minimal_100	31.613	68.387	49.407	50.593	3.92	224	0.875	bilinear	-57.547	-47.913	-2
267	regnety_002	29.690	70.310	46.883	53.117	3.16	224	0.875	bicubic	-58.530	-50.547	-1
268	regnetx_002	28.883	71.117	45.583	54.417	2.68	224	0.875	bicubic	-58.487	-51.407	0
269	dla60x_c	28.527	71.473	46.257	53.743	1.32	224	0.875	bilinear	-58.553	-50.883	0
270	tf_mobilenetv3_small_100	27.347	72.653	44.490	55.510	2.54	224	0.875	bilinear	-58.633	-51.910	0
271	dla46x_c	26.277	73.723	43.903	56.097	1.07	224	0.875	bilinear	-59.193	-52.547	0
272	tf_mobilenetv3_small_075	26.273	73.727	43.713	56.287	2.04	224	0.875	bilinear	-58.257	-52.167	+1
273	dla46_c	25.490	74.510	43.953	56.047	1.30	224	0.875	bilinear	-59.220	-52.257	-1
274	tf_mobilenetv3_small_minimal_100	25.110	74.890	42.987	57.013	2.04	224	0.875	bilinear	-57.560	-52.013	0
275	pnasnet5large	6.983	93.017	19.613	80.387	86.06	331	0.911	bicubic	-10.887	-22.507	0
276	ens_adv_inception_resnet_v2	6.550	93.450	18.623	81.377	55.85	299	0.897	bicubic	-9.690	-21.767	+2
277	inception_resnet_v2	6.313	93.687	18.147	81.853	55.85	299	0.897	bicubic	-10.477	-20.703	-1
278	inception_v4	5.923	94.077	16.657	83.343	42.68	299	0.875	bicubic	-10.617	-20.723	-1