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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation	top1_diff	top5_diff	rank_diff
2	tf_efficientnet_l2_ns	84.707	15.293	96.040	3.960	480.31	800	0.960	bicubic	-12.063	-3.410	-2
3	tf_efficientnet_l2_ns_475	83.360	16.640	95.480	4.520	480.31	475	0.936	bicubic	-13.210	-3.920	-2
4	tf_efficientnet_b7_ns	66.880	33.120	88.507	11.493	66.35	600	0.949	bicubic	-31.660	-11.313	-2
5	tf_efficientnet_b6_ns	61.640	38.360	84.787	15.213	43.04	528	0.942	bicubic	-36.240	-14.933	-1
6	ig_resnext101_32x48d	61.040	38.960	83.253	16.747	828.41	224	0.875	bilinear	-37.450	-16.577	-3
7	tf_efficientnet_b5_ns	59.787	40.213	84.213	15.787	30.39	456	0.934	bicubic	-37.853	-15.487	-2
8	resnetv2_152x4_bitm	59.560	40.440	83.147	16.853	936.53	480	1.000	bilinear	-38.070	-16.433	-2
9	ig_resnext101_32x32d	57.933	42.067	80.760	19.240	468.53	224	0.875	bilinear	-39.557	-18.870	-2
10	vit_base_resnet50_384	54.333	45.667	80.827	19.173	98.95	384	1.000	bicubic	-42.867	-18.713	+1
11	resnetv2_152x2_bitm	53.773	46.227	81.840	18.160	236.34	480	1.000	bilinear	-43.417	-17.730	+1
12	vit_large_patch16_384	53.053	46.947	79.853	20.147	304.72	384	1.000	bicubic	-44.127	-19.707	+1
13	ig_resnext101_32x16d	53.040	46.960	76.853	23.147	194.03	224	0.875	bilinear	-43.970	-22.667	+6
14	resnetv2_101x3_bitm	52.307	47.693	80.227	19.773	387.93	480	1.000	bilinear	-44.803	-19.433	+2
15	swsl_resnext101_32x8d	51.160	48.840	78.213	21.787	88.79	224	0.875	bilinear	-46.050	-21.287	-5
16	tf_efficientnet_b4_ns	50.907	49.093	79.040	20.960	19.34	380	0.922	bicubic	-46.173	-20.580	+2
17	vit_base_patch16_384	50.027	49.973	77.600	22.400	86.86	384	1.000	bicubic	-46.713	-21.740	+6
18	tf_efficientnet_b8	47.987	52.013	76.467	23.533	87.41	672	0.954	bicubic	-49.493	-23.143	-10
19	resnest269e	47.653	52.347	74.013	25.987	110.93	416	0.928	bicubic	-48.867	-25.337	+10
20	resnetv2_50x3_bitm	46.533	53.467	76.760	23.240	217.32	480	1.000	bilinear	-50.397	-22.820	0
21	tf_efficientnet_b8_ap	46.453	53.547	76.160	23.840	87.41	672	0.954	bicubic	-50.677	-23.430	-7
22	swsl_resnext101_32x16d	46.027	53.973	72.067	27.933	194.03	224	0.875	bilinear	-50.593	-27.283	+5
23	tf_efficientnet_b7_ap	45.267	54.733	74.027	25.973	66.35	600	0.949	bicubic	-52.093	-25.653	-14
24	ig_resnext101_32x8d	45.227	54.773	70.853	29.147	88.79	224	0.875	bilinear	-51.083	-28.577	+10
25	resnest200e	43.867	56.133	73.293	26.707	70.20	320	0.909	bicubic	-52.803	-26.077	+1
26	tresnet_xl_448	43.187	56.813	72.133	27.867	78.44	448	0.875	bilinear	-52.783	-26.987	+14
27	tf_efficientnet_b7	42.213	57.787	72.547	27.453	66.35	600	0.949	bicubic	-54.867	-26.963	-10
28	swsl_resnext101_32x4d	41.627	58.373	71.880	28.120	44.18	224	0.875	bilinear	-54.783	-27.590	+2
29	tf_efficientnet_b6_ap	40.320	59.680	71.387	28.613	43.04	528	0.942	bicubic	-56.800	-28.253	-14
30	tresnet_l_448	40.133	59.867	69.707	30.293	55.99	448	0.875	bilinear	-55.727	-29.413	+15
31	resnetv2_101x1_bitm	38.747	61.253	71.000	29.000	44.54	480	1.000	bilinear	-57.323	-28.300	+7
32	resnet200d_320	37.813	62.187	68.200	31.800	64.69	320	1.000	bicubic	-58.967	-31.220	-10
33	seresnet152d_320	37.453	62.547	69.053	30.947	66.84	320	1.000	bicubic	-59.377	-30.537	+21
34	tf_efficientnet_b3_ns	35.480	64.520	67.720	32.280	12.23	300	0.904	bicubic	-60.890	-31.630	-2
35	vit_large_patch16_224	35.240	64.760	64.320	35.680	304.33	224	0.900	bicubic	-60.700	-34.920	+7
36	tf_efficientnet_b6	34.947	65.053	67.293	32.707	43.04	528	0.942	bicubic	-61.743	-32.167	-10
37	tf_efficientnet_b5_ap	34.333	65.667	67.053	32.947	30.39	456	0.934	bicubic	-62.377	-32.457	-12
38	resnet152d_320	33.720	66.280	65.467	34.533	60.21	320	1.000	bicubic	-62.630	-33.923	-5
39	tresnet_m_448	33.627	66.373	64.293	35.707	31.39	448	0.875	bilinear	-61.363	-34.687	+32
40	vit_base_patch32_384	33.160	66.840	64.680	35.320	88.30	384	1.000	bicubic	-62.650	-34.470	+9
41	swsl_resnext50_32x4d	33.027	66.973	65.173	34.827	25.03	224	0.875	bilinear	-62.853	-34.077	+4
42	ssl_resnext101_32x16d	32.373	67.627	63.693	36.307	194.03	224	0.875	bilinear	-63.437	-35.487	+6
43	seresnet152d	31.600	68.400	63.373	36.627	66.84	256	0.940	bicubic	-65.000	-36.147	+27
44	resnest101e	31.600	68.400	64.053	35.947	48.28	256	0.875	bilinear	-64.250	-35.157	+4
45	vit_base_patch16_224	31.573	68.427	61.213	38.787	86.57	224	0.900	bicubic	-63.767	-37.787	+16
46	tf_efficientnet_b5	31.107	68.893	64.507	35.493	30.39	456	0.934	bicubic	-65.233	-34.803	-11
47	resnet200d	30.053	69.947	61.160	38.840	64.69	256	0.940	bicubic	-66.237	-38.090	-9
48	swsl_resnet50	29.787	70.213	63.800	36.200	25.56	224	0.875	bilinear	-65.623	-35.480	+11
49	ssl_resnext101_32x8d	28.853	71.147	60.627	39.373	88.79	224	0.875	bilinear	-66.617	-38.483	+7
50	resnet101d_320	28.747	71.253	62.013	37.987	44.57	320	1.000	bicubic	-67.543	-37.217	-13
51	resnetv2_50x1_bitm	27.453	72.547	63.133	36.867	25.55	480	1.000	bilinear	-67.587	-36.027	+18
52	resnet152d	25.947	74.053	58.573	41.427	60.21	256	0.940	bicubic	-70.043	-40.687	-11
53	tf_efficientnet_b4	25.867	74.133	59.880	40.120	19.34	380	0.922	bicubic	-70.023	-39.290	-8
54	tf_efficientnet_b4_ap	25.827	74.173	59.613	40.387	19.34	380	0.922	bicubic	-70.343	-39.667	-15
55	ecaresnet101d	25.773	74.227	58.720	41.280	44.57	224	0.875	bicubic	-69.767	-40.410	0
56	tf_efficientnet_b2_ns	24.120	75.880	57.480	42.520	9.11	260	0.890	bicubic	-71.620	-41.640	-5
57	ssl_resnext101_32x4d	23.760	76.240	57.160	42.840	44.18	224	0.875	bilinear	-71.670	-41.970	+1
58	efficientnet_b3	23.587	76.413	56.440	43.560	12.23	300	0.904	bicubic	-71.993	-42.660	-4
59	efficientnet_b3a	23.120	76.880	55.813	44.187	12.23	320	1.000	bicubic	-72.600	-43.227	-7
60	nasnetalarge	23.120	76.880	54.560	45.440	88.75	331	0.911	bicubic	-72.560	-44.370	-7
61	resnet101d	22.240	77.760	54.667	45.333	44.57	256	0.940	bicubic	-73.690	-44.403	-17
62	regnety_032	21.787	78.213	54.880	45.120	19.44	224	0.875	bicubic	-73.573	-44.220	-2
63	resnest50d_4s2x40d	20.080	79.920	52.907	47.093	30.42	224	0.875	bicubic	-74.870	-45.913	+10
64	ssl_resnext50_32x4d	19.680	80.320	53.253	46.747	25.03	224	0.875	bilinear	-75.180	-45.617	+14
65	tresnet_xl	19.320	80.680	52.867	47.133	78.44	224	0.875	bilinear	-76.120	-46.193	-8
66	gluon_senet154	19.067	80.933	47.187	52.813	115.09	224	0.875	bicubic	-75.863	-51.583	+9
67	gluon_seresnext101_64x4d	18.960	81.040	48.960	51.040	88.23	224	0.875	bicubic	-75.990	-50.110	+7
68	legacy_senet154	18.920	81.080	47.600	52.400	115.09	224	0.875	bilinear	-76.140	-51.230	-1
69	tf_efficientnet_b1_ns	18.907	81.093	51.667	48.333	7.79	240	0.882	bicubic	-76.263	-47.443	-5
70	rexnet_200	18.880	81.120	52.587	47.413	16.37	224	0.875	bicubic	-76.050	-46.413	+6
71	seresnext50_32x4d	18.227	81.773	50.907	49.093	27.56	224	0.875	bicubic	-76.813	-47.983	-1
72	ecaresnet50d	17.973	82.027	51.480	48.520	25.58	224	0.875	bicubic	-76.647	-47.290	+18
73	resnest50d_1s4x24d	17.653	82.347	49.613	50.387	25.68	224	0.875	bicubic	-77.107	-49.367	+9
74	tf_efficientnet_lite4	17.627	82.373	50.253	49.747	13.01	380	0.920	bilinear	-77.233	-48.767	+5
75	gluon_seresnext101_32x4d	17.360	82.640	46.480	53.520	48.96	224	0.875	bicubic	-77.560	-52.330	+2
76	resnest50d	17.280	82.720	50.533	49.467	27.48	224	0.875	bilinear	-77.540	-48.347	+4
77	tf_efficientnet_b3_ap	17.000	83.000	49.387	50.613	12.23	300	0.904	bicubic	-78.320	-49.513	-15
78	gluon_resnext101_64x4d	16.693	83.307	43.960	56.040	83.46	224	0.875	bicubic	-77.947	-54.700	+9
79	tf_efficientnet_b3	16.693	83.307	49.107	50.893	12.23	300	0.904	bicubic	-78.317	-49.803	-8
80	xception71	16.600	83.400	45.240	54.760	42.34	299	0.903	bicubic	-77.690	-53.400	+27
81	gluon_resnet152_v1s	16.467	83.533	44.200	55.800	60.32	224	0.875	bicubic	-78.583	-54.730	-13
82	tresnet_l	16.413	83.587	49.573	50.427	55.99	224	0.875	bilinear	-78.877	-49.437	-19
83	gluon_xception65	16.213	83.787	45.920	54.080	39.92	299	0.903	bicubic	-78.047	-52.650	+26
84	wide_resnet50_2	16.200	83.800	48.080	51.920	68.88	224	0.875	bicubic	-78.870	-50.890	-18
85	gluon_resnet152_v1d	16.160	83.840	44.107	55.893	60.21	224	0.875	bicubic	-78.590	-54.633	-2
86	xception65	15.893	84.107	43.453	56.547	39.92	299	0.903	bicubic	-77.877	-54.907	+56
87	ssl_resnet50	15.813	84.187	49.280	50.720	25.56	224	0.875	bilinear	-78.677	-49.640	+9
88	ecaresnet101d_pruned	15.480	84.520	47.947	52.053	24.88	224	0.875	bicubic	-79.590	-51.033	-23
89	regnety_320	15.453	84.547	44.560	55.440	145.05	224	0.875	bicubic	-79.097	-54.280	+5
90	ecaresnetlight	15.173	84.827	45.680	54.320	30.16	224	0.875	bicubic	-79.607	-53.120	-9
91	skresnext50_32x4d	15.120	84.880	44.453	55.547	27.48	224	0.875	bicubic	-79.140	-54.017	+19
92	rexnet_150	14.360	85.640	46.587	53.413	9.73	224	0.875	bicubic	-80.110	-52.203	+8
93	efficientnet_b2a	14.307	85.693	45.787	54.213	9.11	288	1.000	bicubic	-80.323	-52.923	-5
94	seresnet50	14.027	85.973	45.347	54.653	28.09	224	0.875	bicubic	-80.533	-53.403	-1
95	legacy_seresnext101_32x4d	13.893	86.107	42.640	57.360	48.96	224	0.875	bilinear	-80.467	-56.000	+8
96	gluon_resnext101_32x4d	13.680	86.320	41.467	58.533	44.18	224	0.875	bicubic	-80.840	-57.163	-1
97	gluon_seresnext50_32x4d	13.453	86.547	43.507	56.493	27.56	224	0.875	bicubic	-80.897	-55.113	+7
98	efficientnet_b2	13.253	86.747	44.493	55.507	9.11	260	0.875	bicubic	-81.457	-54.177	-14
99	regnetx_320	13.160	86.840	40.253	59.747	107.81	224	0.875	bicubic	-81.280	-58.477	+2
100	ese_vovnet39b	13.147	86.853	43.680	56.320	24.57	224	0.875	bicubic	-80.943	-54.980	+25
101	mixnet_xl	13.000	87.000	43.133	56.867	11.90	224	0.875	bicubic	-81.190	-55.207	+14
102	efficientnet_b3_pruned	12.987	87.013	44.813	55.187	9.86	300	0.904	bicubic	-81.633	-54.077	-13
103	gluon_resnet101_v1d	12.760	87.240	41.267	58.733	44.57	224	0.875	bicubic	-81.440	-57.293	+11
104	gluon_inception_v3	12.507	87.493	40.200	59.800	23.83	299	0.875	bicubic	-80.953	-58.360	+58
105	tresnet_m	12.373	87.627	41.547	58.453	31.39	224	0.875	bilinear	-82.237	-57.003	-13
106	regnety_120	12.240	87.760	41.893	58.107	51.82	224	0.875	bicubic	-82.240	-56.917	-7
107	regnety_160	12.173	87.827	41.107	58.893	83.59	224	0.875	bicubic	-82.177	-57.743	-2
108	gluon_resnet101_v1s	12.013	87.987	40.773	59.227	44.67	224	0.875	bicubic	-82.687	-58.047	-23
109	efficientnet_em	11.947	88.053	43.667	56.333	6.90	240	0.882	bicubic	-81.903	-55.143	+28
110	vit_small_patch16_224	11.907	88.093	39.920	60.080	48.75	224	0.900	bicubic	-80.863	-58.010	+84
111	hrnet_w64	11.880	88.120	40.560	59.440	128.06	224	0.875	bilinear	-82.110	-58.050	+17
112	cspdarknet53	11.680	88.320	42.893	57.107	27.64	256	0.887	bilinear	-82.990	-55.917	-26
113	resnet50d	11.640	88.360	42.120	57.880	25.58	224	0.875	bicubic	-82.630	-56.600	-5
114	xception41	11.560	88.440	38.760	61.240	26.97	299	0.903	bicubic	-81.850	-59.660	+51
115	dla102x2	11.387	88.613	41.267	58.733	41.28	224	0.875	bilinear	-82.563	-57.223	+14
116	dpn92	11.280	88.720	39.520	60.480	37.67	224	0.875	bicubic	-82.940	-59.210	-4
117	efficientnet_b2_pruned	11.253	88.747	41.773	58.227	8.31	260	0.890	bicubic	-82.887	-56.747	+4
118	regnety_080	11.253	88.747	40.613	59.387	39.18	224	0.875	bicubic	-82.927	-58.067	0
119	tf_efficientnet_b0_ns	11.080	88.920	39.880	60.120	5.29	224	0.875	bicubic	-82.540	-58.760	+33
120	ecaresnet50d_pruned	11.000	89.000	42.000	58.000	19.94	224	0.875	bicubic	-83.210	-56.730	-7
121	hrnet_w48	10.853	89.147	39.973	60.027	77.47	224	0.875	bilinear	-83.087	-58.637	+10
122	tf_inception_v3	10.840	89.160	36.680	63.320	23.83	299	0.875	bicubic	-82.490	-61.360	+47
123	dpn107	10.827	89.173	38.427	61.573	86.92	224	0.875	bicubic	-83.483	-60.053	-18
124	adv_inception_v3	10.827	89.173	36.467	63.533	23.83	299	0.875	bicubic	-82.063	-61.663	+65
125	tf_efficientnet_el	10.800	89.200	41.093	58.907	10.59	300	0.904	bicubic	-83.810	-57.657	-34
126	gluon_resnet152_v1c	10.760	89.240	36.840	63.160	60.21	224	0.875	bicubic	-83.400	-61.800	-7
127	resnext50_32x4d	10.627	89.373	40.187	59.813	25.03	224	0.875	bicubic	-83.483	-58.163	-3
128	dpn131	10.600	89.400	36.973	63.027	79.25	224	0.875	bicubic	-83.400	-61.747	-1
129	resnext50d_32x4d	10.453	89.547	39.373	60.627	25.05	224	0.875	bicubic	-83.737	-59.207	-13
130	tf_efficientnet_b2_ap	10.400	89.600	39.747	60.253	9.11	260	0.890	bicubic	-84.090	-58.873	-33
131	rexnet_130	10.347	89.653	41.387	58.613	7.56	224	0.875	bicubic	-83.553	-57.013	+2
132	hrnet_w44	10.333	89.667	39.200	60.800	67.06	224	0.875	bilinear	-83.247	-59.500	+21
133	dpn98	10.107	89.893	36.453	63.547	61.57	224	0.875	bicubic	-84.023	-62.117	-11
134	cspresnext50	10.093	89.907	40.253	59.747	20.57	224	0.875	bilinear	-84.387	-58.427	-36
135	regnety_064	10.000	90.000	38.920	61.080	30.58	224	0.875	bicubic	-84.150	-59.810	-15
136	regnetx_160	9.973	90.027	37.733	62.267	54.28	224	0.875	bicubic	-84.147	-61.007	-13
137	resnext101_32x8d	9.960	90.040	37.493	62.507	88.79	224	0.875	bilinear	-83.840	-61.087	+3
138	legacy_seresnext50_32x4d	9.880	90.120	38.973	61.027	27.56	224	0.875	bilinear	-83.840	-59.607	+9
139	xception	9.880	90.120	37.920	62.080	22.86	299	0.897	bicubic	-83.590	-60.610	+22
140	inception_v3	9.827	90.173	35.040	64.960	23.83	299	0.875	bicubic	-82.893	-62.920	+58
141	tf_efficientnet_b2	9.653	90.347	38.640	61.360	9.11	260	0.890	bicubic	-84.717	-59.970	-39
142	tf_efficientnet_cc_b1_8e	9.613	90.387	36.880	63.120	39.72	240	0.882	bicubic	-84.297	-61.370	-10
143	dpn68b	9.587	90.413	37.720	62.280	12.61	224	0.875	bicubic	-84.093	-60.800	+6
144	gluon_resnet152_v1b	9.587	90.413	35.693	64.307	60.19	224	0.875	bicubic	-84.503	-62.757	-18
145	tf_efficientnet_lite3	9.480	90.520	38.960	61.040	8.20	300	0.904	bilinear	-84.710	-59.680	-28
146	res2net101_26w_4s	9.413	90.587	34.440	65.560	45.21	224	0.875	bilinear	-84.317	-63.880	-1
147	legacy_seresnet152	9.240	90.760	37.120	62.880	66.82	224	0.875	bilinear	-84.180	-61.230	+17
148	cspresnet50	9.213	90.787	39.467	60.533	21.62	256	0.887	bilinear	-84.537	-59.163	-5
149	efficientnet_b1	9.213	90.787	37.227	62.773	7.79	240	0.875	bicubic	-84.057	-60.963	+25
150	seresnext26t_32x4d	9.187	90.813	37.187	62.813	16.82	224	0.875	bicubic	-83.873	-60.913	+32
151	hrnet_w40	9.107	90.893	36.533	63.467	57.56	224	0.875	bilinear	-84.383	-62.057	+9
152	regnetx_120	9.067	90.933	36.947	63.053	46.11	224	0.875	bicubic	-85.173	-61.723	-41
153	gluon_resnext50_32x4d	9.027	90.973	36.320	63.680	25.03	224	0.875	bicubic	-84.793	-62.090	-15
154	resnest26d	9.013	90.987	37.560	62.440	17.07	224	0.875	bilinear	-84.357	-61.080	+13
155	regnety_040	8.853	91.147	37.000	63.000	20.65	224	0.875	bicubic	-85.007	-61.640	-19
156	rexnet_100	8.813	91.187	36.240	63.760	4.80	224	0.875	bicubic	-84.217	-61.950	+30
157	seresnext26tn_32x4d	8.800	91.200	36.600	63.400	16.81	224	0.875	bicubic	-84.010	-61.770	+33
158	seresnext26d_32x4d	8.800	91.200	36.427	63.573	16.81	224	0.875	bicubic	-83.930	-61.723	+40
159	mixnet_l	8.747	91.253	36.173	63.827	7.33	224	0.875	bicubic	-84.683	-62.047	+4
160	hrnet_w30	8.533	91.467	36.827	63.173	37.71	224	0.875	bilinear	-84.677	-61.583	+15
161	dla169	8.373	91.627	35.907	64.093	53.39	224	0.875	bilinear	-84.967	-62.693	+7
162	tf_efficientnet_b1_ap	8.333	91.667	35.147	64.853	7.79	240	0.882	bicubic	-85.377	-63.213	-14
163	legacy_seresnet101	8.267	91.733	35.707	64.293	49.33	224	0.875	bilinear	-85.023	-62.793	+9
164	resnetblur50	8.200	91.800	37.320	62.680	25.56	224	0.875	bicubic	-85.750	-61.270	-34
165	dla102x	8.173	91.827	36.827	63.173	26.31	224	0.875	bilinear	-85.347	-61.533	-7
166	hrnet_w32	7.933	92.067	37.253	62.747	41.23	224	0.875	bilinear	-85.587	-61.247	-10
167	gluon_resnet50_v1d	7.827	92.173	34.787	65.213	25.58	224	0.875	bicubic	-85.953	-63.613	-26
168	gluon_resnet101_v1c	7.800	92.200	32.947	67.053	44.57	224	0.875	bicubic	-85.870	-65.463	-18
169	dla60_res2next	7.747	92.253	34.653	65.347	17.03	224	0.875	bilinear	-85.433	-63.757	+8
170	res2net50_26w_8s	7.747	92.253	33.480	66.520	48.40	224	0.875	bilinear	-85.793	-64.790	-15
171	densenetblur121d	7.560	92.440	34.560	65.440	8.00	224	0.875	bicubic	-84.360	-63.530	+53
172	dla60_res2net	7.347	92.653	34.400	65.600	20.85	224	0.875	bilinear	-85.803	-64.020	+6
173	regnetx_064	7.320	92.680	34.360	65.640	26.21	224	0.875	bicubic	-86.570	-64.270	-39
174	wide_resnet101_2	7.307	92.693	33.707	66.293	126.89	224	0.875	bilinear	-86.423	-64.833	-28
175	efficientnet_b1_pruned	7.280	92.720	34.427	65.573	6.33	240	0.882	bicubic	-85.490	-63.613	+18
176	efficientnet_b0	7.213	92.787	33.840	66.160	5.29	224	0.875	bicubic	-85.457	-64.240	+25
177	gluon_resnet101_v1b	7.133	92.867	32.707	67.293	44.55	224	0.875	bicubic	-86.597	-65.693	-33
178	tf_efficientnet_cc_b0_8e	7.133	92.867	31.667	68.333	24.01	224	0.875	bicubic	-85.687	-66.513	+12
179	tf_efficientnet_b1	7.120	92.880	33.107	66.893	7.79	240	0.882	bicubic	-86.400	-65.323	-22
180	gluon_resnet50_v1s	7.080	92.920	33.213	66.787	25.68	224	0.875	bicubic	-86.550	-65.257	-29
181	tf_mixnet_l	7.067	92.933	31.587	68.413	7.33	224	0.875	bicubic	-86.233	-66.443	-10
182	mixnet_m	6.667	93.333	32.040	67.960	5.01	224	0.875	bicubic	-85.773	-65.830	+29
183	ese_vovnet19b_dw	6.653	93.347	33.160	66.840	6.54	224	0.875	bicubic	-85.637	-64.940	+34
184	selecsls60b	6.627	93.373	33.133	66.867	32.77	224	0.875	bicubic	-86.663	-65.147	-11
185	efficientnet_es	6.560	93.440	33.693	66.307	5.44	224	0.875	bicubic	-86.640	-64.717	-9
186	res2net50_26w_6s	6.520	93.480	31.493	68.507	37.05	224	0.875	bilinear	-86.880	-66.787	-20
187	legacy_seresnext26_32x4d	6.440	93.560	32.893	67.107	16.79	224	0.875	bicubic	-86.190	-65.227	+16
188	skresnet34	6.387	93.613	31.453	68.547	22.28	224	0.875	bicubic	-85.993	-66.687	+25
189	regnetx_080	6.373	93.627	32.213	67.787	39.57	224	0.875	bicubic	-87.487	-66.307	-54
190	resnet34d	6.347	93.653	31.667	68.333	21.82	224	0.875	bicubic	-86.343	-66.633	+10
191	dla60x	6.320	93.680	33.773	66.227	17.35	224	0.875	bilinear	-86.780	-64.717	-11
192	swsl_resnet18	6.213	93.787	31.373	68.627	11.69	224	0.875	bilinear	-84.467	-66.337	+58
193	pnasnet5large	6.200	93.800	19.053	80.947	86.06	331	0.911	bicubic	-4.490	-11.997	+83
194	legacy_seresnet50	6.040	93.960	32.440	67.560	28.09	224	0.875	bilinear	-86.910	-65.750	-7
195	tf_efficientnet_cc_b0_4e	5.973	94.027	29.520	70.480	13.31	224	0.875	bicubic	-86.637	-68.560	+10
196	tv_resnet152	5.973	94.027	31.587	68.413	60.19	224	0.875	bilinear	-87.347	-66.803	-26
197	dla102	5.827	94.173	32.440	67.560	33.27	224	0.875	bilinear	-87.263	-66.110	-16
198	regnetx_040	5.800	94.200	31.173	68.827	22.12	224	0.875	bicubic	-87.760	-67.377	-44
199	resnet50	5.800	94.200	29.067	70.933	25.56	224	0.875	bicubic	-88.010	-69.313	-60
200	selecsls60	5.720	94.280	32.320	67.680	30.67	224	0.875	bicubic	-87.330	-65.980	-17
201	inception_v4	5.573	94.427	16.173	83.827	42.68	299	0.875	bicubic	-4.997	-12.087	+77
202	regnety_016	5.573	94.427	30.293	69.707	11.20	224	0.875	bicubic	-87.457	-68.067	-17
203	res2next50	5.520	94.480	30.587	69.413	24.67	224	0.875	bilinear	-87.310	-67.583	-14
204	hrnet_w18	5.467	94.533	30.787	69.213	21.30	224	0.875	bilinear	-86.843	-67.453	+11
205	tf_efficientnet_lite2	5.387	94.613	30.893	69.107	6.09	260	0.890	bicubic	-87.273	-67.337	-3
206	inception_resnet_v2	5.360	94.640	16.227	83.773	55.85	299	0.897	bicubic	-5.570	-12.643	+69
207	resnest14d	5.347	94.653	28.587	71.413	10.61	224	0.875	bilinear	-86.393	-69.283	+23
208	tf_efficientnet_em	5.347	94.653	31.707	68.293	6.90	240	0.882	bicubic	-88.153	-66.733	-49
209	tf_efficientnet_b0_ap	5.307	94.693	28.720	71.280	5.29	224	0.875	bicubic	-86.913	-69.390	+10
210	ens_adv_inception_resnet_v2	5.173	94.827	15.680	84.320	55.85	299	0.897	bicubic	-5.477	-14.810	+67
211	mobilenetv3_large_100	5.120	94.880	28.040	71.960	5.48	224	0.875	bicubic	-86.210	-69.670	+23
212	densenet121	5.080	94.920	29.627	70.373	7.98	224	0.875	bicubic	-86.480	-68.393	+19
213	res2net50_26w_4s	5.067	94.933	28.987	71.013	25.70	224	0.875	bilinear	-87.423	-69.303	-4
214	tf_efficientnet_b0	5.040	94.960	28.907	71.093	5.29	224	0.875	bicubic	-87.190	-69.093	+4
215	tf_mixnet_m	5.040	94.960	28.080	71.920	5.01	224	0.875	bicubic	-87.290	-69.810	-1
216	res2net50_14w_8s	4.907	95.093	28.320	71.680	25.06	224	0.875	bilinear	-87.813	-69.870	-17
217	regnetx_032	4.880	95.120	29.920	70.080	15.30	224	0.875	bicubic	-88.240	-68.470	-38
218	mixnet_s	4.827	95.173	28.493	71.507	4.13	224	0.875	bicubic	-86.993	-69.367	+10
219	mobilenetv3_rw	4.813	95.187	29.520	70.480	5.48	224	0.875	bicubic	-86.397	-68.140	+18
220	gluon_resnet50_v1c	4.773	95.227	27.773	72.227	25.58	224	0.875	bicubic	-88.257	-70.597	-36
221	selecsls42b	4.707	95.293	28.320	71.680	32.46	224	0.875	bicubic	-87.593	-69.830	-5
222	tv_resnext50_32x4d	4.693	95.307	29.813	70.187	25.03	224	0.875	bilinear	-88.067	-68.457	-27
223	densenet161	4.573	95.427	29.520	70.480	28.68	224	0.875	bicubic	-87.917	-68.540	-13
224	tv_resnet101	4.547	95.453	28.907	71.093	44.55	224	0.875	bilinear	-88.253	-69.323	-32
225	tf_efficientnet_lite1	4.467	95.533	28.347	71.653	5.42	240	0.882	bicubic	-88.153	-69.733	-21
226	mobilenetv2_120d	4.427	95.573	29.040	70.960	5.83	224	0.875	bicubic	-87.973	-69.010	-14
227	fbnetc_100	4.080	95.920	25.480	74.520	5.57	224	0.875	bilinear	-86.630	-71.730	+22
228	gluon_resnet50_v1b	4.027	95.973	26.827	73.173	25.56	224	0.875	bicubic	-88.513	-71.363	-20
229	densenet201	3.987	96.013	27.253	72.747	20.01	224	0.875	bicubic	-88.763	-70.987	-33
230	dpn68	3.933	96.067	26.013	73.987	12.61	224	0.875	bicubic	-88.077	-72.027	-7
231	resnet26d	3.920	96.080	28.227	71.773	16.01	224	0.875	bicubic	-88.130	-69.723	-9
232	tf_mixnet_s	3.920	96.080	25.200	74.800	4.13	224	0.875	bicubic	-87.590	-72.410	0
233	semnasnet_100	3.880	96.120	26.840	73.160	3.89	224	0.875	bicubic	-87.410	-70.730	+2
234	regnety_008	3.707	96.293	26.853	73.147	6.26	224	0.875	bicubic	-88.033	-71.327	-5
235	ssl_resnet18	3.707	96.293	25.280	74.720	11.69	224	0.875	bilinear	-86.523	-72.280	+20
236	densenet169	3.680	96.320	25.533	74.467	14.15	224	0.875	bicubic	-88.230	-72.567	-11
237	mobilenetv2_140	3.667	96.333	26.480	73.520	6.11	224	0.875	bicubic	-88.153	-71.210	-10
238	tf_mobilenetv3_large_100	3.653	96.347	25.000	75.000	5.48	224	0.875	bilinear	-87.577	-72.660	-2
239	dla60	3.573	96.427	27.920	72.080	22.04	224	0.875	bilinear	-88.647	-70.100	-19
240	res2net50_48w_2s	3.573	96.427	26.333	73.667	25.29	224	0.875	bilinear	-88.987	-71.737	-34
241	spnasnet_100	3.533	96.467	24.213	75.787	4.42	224	0.875	bilinear	-86.817	-72.977	+12
242	regnety_006	3.507	96.493	24.893	75.107	6.06	224	0.875	bicubic	-87.863	-72.817	-9
243	regnetx_016	3.467	96.533	26.387	73.613	9.19	224	0.875	bicubic	-88.703	-71.823	-22
244	tf_efficientnet_es	3.387	96.613	27.093	72.907	5.44	224	0.875	bicubic	-89.163	-71.197	-37
245	legacy_seresnet34	3.293	96.707	23.613	76.387	21.96	224	0.875	bilinear	-87.597	-73.967	+2
246	efficientnet_lite0	3.280	96.720	25.720	74.280	4.65	224	0.875	bicubic	-87.890	-71.900	-7
247	dla34	3.160	96.840	23.573	76.427	15.74	224	0.875	bilinear	-87.600	-74.077	+1
248	mnasnet_100	3.107	96.893	24.227	75.773	4.38	224	0.875	bicubic	-87.403	-73.243	+3
249	mobilenetv2_110d	3.107	96.893	24.373	75.627	4.52	224	0.875	bicubic	-87.863	-73.167	-4
250	regnety_004	3.067	96.933	22.613	77.387	4.34	224	0.875	bicubic	-87.433	-74.947	+2
251	tf_efficientnet_lite0	3.067	96.933	22.813	77.187	4.65	224	0.875	bicubic	-87.973	-74.757	-8
252	skresnet18	2.987	97.013	22.733	77.267	11.96	224	0.875	bicubic	-86.673	-74.487	+6
253	resnet34	2.907	97.093	23.560	76.440	21.80	224	0.875	bilinear	-88.203	-74.060	-12
254	tf_mobilenetv3_large_075	2.853	97.147	21.600	78.400	3.99	224	0.875	bilinear	-86.857	-75.620	+3
255	regnetx_008	2.733	97.267	22.347	77.653	7.26	224	0.875	bicubic	-88.317	-75.363	-13
256	gluon_resnet34_v1b	2.653	97.347	21.547	78.453	21.80	224	0.875	bicubic	-88.337	-76.093	-12
257	hrnet_w18_small_v2	2.627	97.373	23.587	76.413	15.60	224	0.875	bilinear	-88.563	-74.313	-19
258	resnet18d	2.493	97.507	21.600	78.400	11.71	224	0.875	bicubic	-86.807	-75.550	+2
259	regnetx_006	2.467	97.533	20.627	79.373	6.20	224	0.875	bicubic	-87.863	-76.803	-5
260	tv_densenet121	2.453	97.547	22.547	77.453	7.98	224	0.875	bicubic	-88.447	-75.163	-14
261	legacy_seresnet18	2.440	97.560	19.827	80.173	11.78	224	0.875	bicubic	-86.440	-77.143	+3
262	resnet26	2.373	97.627	22.693	77.307	16.00	224	0.875	bicubic	-88.747	-75.037	-22
263	mobilenetv2_100	2.147	97.853	19.640	80.360	3.50	224	0.875	bicubic	-87.463	-77.500	-4
264	regnety_002	2.067	97.933	18.587	81.413	3.16	224	0.875	bicubic	-85.293	-77.983	+3
265	tf_mobilenetv3_small_100	2.000	98.000	15.880	84.120	2.54	224	0.875	bilinear	-83.180	-79.900	+5
266	tf_mobilenetv3_small_075	1.973	98.027	14.840	85.160	2.04	224	0.875	bilinear	-81.517	-79.950	+7
267	regnetx_004	1.960	98.040	19.080	80.920	5.16	224	0.875	bicubic	-86.930	-78.040	-4
268	tv_resnet34	1.827	98.173	19.813	80.187	21.80	224	0.875	bilinear	-88.093	-77.527	-12
269	dla46x_c	1.693	98.307	16.373	83.627	1.07	224	0.875	bilinear	-82.557	-78.907	+2
270	tf_mobilenetv3_large_minimal_100	1.627	98.373	17.200	82.800	3.92	224	0.875	bilinear	-87.333	-79.670	-8
271	dla60x_c	1.587	98.413	17.800	82.200	1.32	224	0.875	bilinear	-84.693	-78.360	-3
272	gluon_resnet18_v1b	1.547	98.453	16.600	83.400	11.69	224	0.875	bicubic	-86.823	-80.090	-7
273	hrnet_w18_small	1.507	98.493	18.093	81.907	13.19	224	0.875	bilinear	-87.533	-79.007	-12
274	dla46_c	1.453	98.547	15.027	84.973	1.30	224	0.875	bilinear	-82.187	-79.883	-2
275	regnetx_002	1.267	98.733	14.827	85.173	2.68	224	0.875	bicubic	-84.933	-81.143	-6
276	resnet18	1.120	98.880	16.173	83.827	11.69	224	0.875	bilinear	-86.250	-80.087	-10
277	tf_mobilenetv3_small_minimal_100	1.027	98.973	11.400	88.600	2.04	224	0.875	bilinear	-80.353	-82.270	-3
278	tv_resnet50	0.027	99.973	14.320	85.680	25.56	224	0.875	bilinear	-91.853	-83.720	-52