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	84.760	15.240	96.147	3.853	480.31	800	0.960	bicubic	-13.790	-3.673	0
3	tf_efficientnet_l2_ns_475	83.373	16.627	95.453	4.547	480.31	475	0.936	bicubic	-15.127	-4.377	0
4	tf_efficientnet_b7_ns	67.040	32.960	88.667	11.333	66.35	600	0.949	bicubic	-30.870	-11.053	0
5	tf_efficientnet_b6_ns	62.267	37.733	85.173	14.827	43.04	528	0.942	bicubic	-35.363	-14.407	0
6	ig_resnext101_32x48d	61.013	38.987	83.347	16.653	828.41	224	0.875	bilinear	-36.607	-16.353	0
7	tf_efficientnet_b5_ns	60.320	39.680	84.493	15.507	30.39	456	0.934	bicubic	-37.180	-15.137	0
8	ig_resnext101_32x32d	58.093	41.907	80.653	19.347	468.53	224	0.875	bilinear	-39.267	-19.027	0
9	ig_resnext101_32x16d	53.067	46.933	76.907	23.093	194.03	224	0.875	bilinear	-43.753	-22.683	+7
10	tf_efficientnet_b4_ns	51.213	48.787	79.187	20.813	19.34	380	0.922	bicubic	-45.737	-20.393	+5
11	swsl_resnext101_32x8d	51.187	48.813	78.240	21.760	88.79	224	0.875	bilinear	-46.013	-21.330	-2
12	tf_efficientnet_b8	48.947	51.053	77.240	22.760	87.41	672	0.954	bicubic	-48.253	-22.260	-1
13	resnest269e	48.187	51.813	74.333	25.667	110.93	416	0.928	bicubic	-48.333	-25.017	+8
14	tf_efficientnet_b8_ap	46.893	53.107	76.507	23.493	87.41	672	0.954	bicubic	-50.217	-23.153	-2
15	swsl_resnext101_32x16d	46.200	53.800	72.200	27.800	194.03	224	0.875	bilinear	-50.400	-27.320	+5
16	tf_efficientnet_b7_ap	45.373	54.627	74.213	25.787	66.35	600	0.949	bicubic	-51.827	-25.327	-6
17	ig_resnext101_32x8d	45.320	54.680	70.867	29.133	88.79	224	0.875	bilinear	-51.000	-28.563	+8
18	resnest200e	44.147	55.853	73.467	26.533	70.20	320	0.909	bicubic	-52.463	-25.883	+1
19	tresnet_xl_448	43.480	56.520	72.453	27.547	78.44	448	0.875	bilinear	-52.490	-26.677	+8
20	tf_efficientnet_b7	42.960	57.040	73.133	26.867	66.35	600	0.949	bicubic	-54.050	-26.387	-6
21	swsl_resnext101_32x4d	41.560	58.440	71.760	28.240	44.18	224	0.875	bilinear	-54.860	-27.710	+1
22	tf_efficientnet_b6_ap	40.800	59.200	71.627	28.373	43.04	528	0.942	bicubic	-56.280	-27.993	-9
23	tresnet_l_448	40.200	59.800	69.893	30.107	55.99	448	0.875	bilinear	-55.660	-29.227	+8
24	tf_efficientnet_b3_ns	35.520	64.480	67.773	32.227	12.23	300	0.904	bicubic	-60.870	-31.577	-1
25	tf_efficientnet_b6	35.213	64.787	67.720	32.280	43.04	528	0.942	bicubic	-61.457	-31.650	-7
26	tf_efficientnet_b5_ap	34.787	65.213	67.493	32.507	30.39	456	0.934	bicubic	-61.893	-31.967	-9
27	tresnet_m_448	34.107	65.893	64.493	35.507	31.39	448	0.875	bilinear	-60.883	-34.487	+22
28	swsl_resnext50_32x4d	33.013	66.987	65.067	34.933	25.03	224	0.875	bilinear	-62.857	-34.183	+1
29	ssl_resnext101_32x16d	32.600	67.400	64.000	36.000	194.03	224	0.875	bilinear	-63.200	-35.180	+3
30	tf_efficientnet_b5	31.840	68.160	65.293	34.707	30.39	456	0.934	bicubic	-64.510	-34.017	-6
31	resnest101e	31.413	68.587	64.360	35.640	48.28	256	0.875	bilinear	-64.447	-34.850	-1
32	swsl_resnet50	29.867	70.133	63.853	36.147	25.56	224	0.875	bilinear	-65.543	-35.437	+8
33	ssl_resnext101_32x8d	29.040	70.960	60.973	39.027	88.79	224	0.875	bilinear	-66.430	-38.137	+4
34	tf_efficientnet_b4	26.293	73.707	60.107	39.893	19.34	380	0.922	bicubic	-69.607	-39.063	-6
35	tf_efficientnet_b4_ap	26.240	73.760	60.227	39.773	19.34	380	0.922	bicubic	-69.920	-39.053	-9
36	ecaresnet101d	26.027	73.973	58.987	41.013	44.57	224	0.875	bicubic	-69.503	-40.143	0
37	ssl_resnext101_32x4d	24.173	75.827	57.413	42.587	44.18	224	0.875	bilinear	-71.267	-41.717	+1
38	tf_efficientnet_b2_ns	24.013	75.987	57.293	42.707	9.11	260	0.890	bicubic	-71.757	-41.827	-5
39	nasnetalarge	23.493	76.507	55.027	44.973	88.75	331	0.911	bicubic	-72.187	-43.903	-4
40	pnasnet5large	23.333	76.667	53.640	46.360	86.06	331	0.911	bicubic	-72.377	-45.280	-6
41	resnest50d_4s2x40d	20.387	79.613	52.800	47.200	30.42	224	0.875	bicubic	-74.573	-46.270	+9
42	ssl_resnext50_32x4d	20.000	80.000	53.613	46.387	25.03	224	0.875	bilinear	-74.870	-45.267	+14
43	tresnet_xl	19.640	80.360	53.133	46.867	78.44	224	0.875	bilinear	-75.800	-45.917	-4
44	gluon_senet154	19.307	80.693	47.533	52.467	115.09	224	0.875	bicubic	-75.613	-51.227	+9
45	rexnet_200	19.227	80.773	52.720	47.280	16.37	224	0.875	bicubic	-75.713	-46.290	+6
46	gluon_seresnext101_64x4d	18.907	81.093	49.187	50.813	88.23	224	0.875	bicubic	-76.023	-49.643	+6
47	tf_efficientnet_b1_ns	18.693	81.307	51.667	48.333	7.79	240	0.882	bicubic	-76.477	-47.443	-4
48	efficientnet_b3	18.693	81.307	52.347	47.653	12.23	300	0.904	bicubic	-76.387	-46.633	-1
49	efficientnet_b3a	18.600	81.400	51.640	48.360	12.23	320	1.000	bicubic	-76.660	-47.290	-6
50	ecaresnet50d	18.227	81.773	51.893	48.107	25.58	224	0.875	bicubic	-76.403	-46.997	+15
51	tf_efficientnet_lite4	18.133	81.867	50.707	49.293	13.01	380	0.920	bilinear	-76.757	-48.313	+4
52	resnest50d_1s4x24d	17.693	82.307	49.800	50.200	25.68	224	0.875	bicubic	-77.057	-49.180	+7
53	gluon_seresnext101_32x4d	17.373	82.627	46.373	53.627	48.96	224	0.875	bicubic	-77.547	-52.437	+1
54	resnest50d	17.373	82.627	50.707	49.293	27.48	224	0.875	bilinear	-77.457	-48.173	+3
55	inception_v4	17.267	82.733	45.920	54.080	42.68	299	0.875	bicubic	-77.113	-52.660	+25
56	tf_efficientnet_b3_ap	17.187	82.813	49.680	50.320	12.23	300	0.904	bicubic	-78.133	-49.220	-15
57	tf_efficientnet_b3	17.000	83.000	49.267	50.733	12.23	300	0.904	bicubic	-78.010	-49.643	-9
58	xception71	17.000	83.000	45.520	54.480	42.34	299	0.903	bicubic	-77.280	-53.120	+27
59	gluon_resnext101_64x4d	16.853	83.147	44.213	55.787	83.46	224	0.875	bicubic	-77.817	-54.437	+4
60	tresnet_l	16.600	83.400	49.920	50.080	55.99	224	0.875	bilinear	-78.690	-49.090	-18
61	inception_resnet_v2	16.573	83.427	44.960	55.040	55.84	299	0.897	bicubic	-77.967	-53.830	+8
62	gluon_resnet152_v1s	16.573	83.427	44.533	55.467	60.32	224	0.875	bicubic	-78.467	-54.397	-15
63	gluon_resnet152_v1d	16.573	83.427	44.280	55.720	60.21	224	0.875	bicubic	-78.167	-54.460	-1
64	gluon_xception65	16.440	83.560	46.027	53.973	39.92	299	0.903	bicubic	-77.820	-52.543	+22
65	ens_adv_inception_resnet_v2	16.240	83.760	43.640	56.360	55.84	299	0.897	bicubic	-77.920	-54.960	+31
66	xception65	16.027	83.973	43.773	56.227	39.92	299	0.903	bicubic	-77.733	-54.597	+53
67	ssl_resnet50	15.960	84.040	49.467	50.533	25.56	224	0.875	bilinear	-78.490	-49.453	+12
68	regnety_320	15.627	84.373	44.827	55.173	145.05	224	0.875	bicubic	-78.913	-54.023	+4
69	ecaresnet101d_pruned	15.600	84.400	48.027	51.973	24.88	224	0.875	bicubic	-79.480	-50.953	-24
70	skresnext50_32x4d	15.373	84.627	44.493	55.507	27.48	224	0.875	bicubic	-78.887	-53.967	+17
71	ecaresnetlight	15.160	84.840	45.827	54.173	30.16	224	0.875	bicubic	-79.610	-52.973	-13
72	rexnet_150	14.720	85.280	46.907	53.093	9.73	224	0.875	bicubic	-79.760	-51.903	+4
73	efficientnet_b2a	14.440	85.560	46.080	53.920	9.11	288	1.000	bicubic	-80.170	-52.630	-5
74	seresnet50	14.147	85.853	45.467	54.533	28.09	224	0.875	bicubic	-80.403	-53.283	-4
75	gluon_resnext101_32x4d	13.867	86.133	41.653	58.347	44.18	224	0.875	bicubic	-80.663	-56.977	-2
76	gluon_seresnext50_32x4d	13.600	86.400	43.760	56.240	27.56	224	0.875	bicubic	-80.740	-54.850	+6
77	ese_vovnet39b	13.320	86.680	43.813	56.187	24.57	224	0.875	bicubic	-80.770	-54.847	+26
78	efficientnet_b2	13.307	86.693	44.440	55.560	9.11	260	0.875	bicubic	-81.393	-54.230	-16
79	regnetx_320	13.307	86.693	40.720	59.280	107.81	224	0.875	bicubic	-81.153	-58.020	-1
80	efficientnet_b3_pruned	13.173	86.827	45.213	54.787	9.86	300	0.904	bicubic	-81.457	-53.547	-14
81	gluon_resnet101_v1d	13.160	86.840	41.493	58.507	44.57	224	0.875	bicubic	-81.060	-57.057	+10
82	mixnet_xl	13.120	86.880	43.253	56.747	11.90	224	0.875	bicubic	-81.070	-55.087	+11
83	gluon_inception_v3	12.640	87.360	40.493	59.507	23.83	299	0.875	bicubic	-80.820	-58.077	+53
84	tresnet_m	12.600	87.400	41.893	58.107	31.39	224	0.875	bilinear	-82.020	-56.657	-17
85	regnety_120	12.427	87.573	42.200	57.800	51.82	224	0.875	bicubic	-82.053	-56.480	-10
86	regnety_160	12.200	87.800	41.320	58.680	83.59	224	0.875	bicubic	-82.140	-57.530	-3
87	hrnet_w64	12.027	87.973	40.787	59.213	128.06	224	0.875	bilinear	-81.983	-57.823	+19
88	cspdarknet53	12.013	87.987	43.253	56.747	27.64	256	0.887	bilinear	-82.647	-55.547	-24
89	gluon_resnet101_v1s	11.880	88.120	40.973	59.027	44.67	224	0.875	bicubic	-82.840	-57.847	-28
90	dpn92	11.627	88.373	40.267	59.733	37.67	224	0.875	bicubic	-82.603	-58.463	-1
91	xception41	11.600	88.400	39.133	60.867	26.97	299	0.903	bicubic	-81.830	-59.297	+48
92	dla102x2	11.573	88.427	41.293	58.707	41.28	224	0.875	bilinear	-82.377	-57.197	+16
93	regnety_080	11.413	88.587	40.613	59.387	39.18	224	0.875	bicubic	-82.757	-58.067	+2
94	efficientnet_b2_pruned	11.360	88.640	42.027	57.973	8.31	260	0.890	bicubic	-82.780	-56.503	+5
95	gluon_resnet152_v1c	11.093	88.907	37.120	62.880	60.21	224	0.875	bicubic	-83.067	-61.520	+2
96	dpn107	11.080	88.920	38.693	61.307	86.92	224	0.875	bicubic	-83.230	-59.787	-12
97	hrnet_w48	11.080	88.920	40.320	59.680	77.47	224	0.875	bilinear	-82.840	-58.290	+12
98	ecaresnet50d_pruned	11.027	88.973	41.947	58.053	19.94	224	0.875	bicubic	-83.193	-56.783	-8
99	adv_inception_v3	11.013	88.987	36.720	63.280	23.83	299	0.875	bicubic	-81.867	-61.420	+63
100	tf_efficientnet_el	10.960	89.040	41.773	58.227	10.59	300	0.904	bicubic	-83.630	-56.977	-31
101	tf_efficientnet_b0_ns	10.933	89.067	40.067	59.933	5.29	224	0.875	bicubic	-82.697	-58.573	+25
102	tf_inception_v3	10.840	89.160	36.853	63.147	23.83	299	0.875	bicubic	-82.480	-61.177	+42
103	resnext50_32x4d	10.800	89.200	40.307	59.693	25.03	224	0.875	bicubic	-83.300	-58.043	-1
104	dpn131	10.787	89.213	37.200	62.800	79.25	224	0.875	bicubic	-83.223	-61.520	+1
105	tf_efficientnet_b2_ap	10.533	89.467	40.107	59.893	9.11	260	0.890	bicubic	-83.957	-58.513	-31
106	resnext50d_32x4d	10.413	89.587	39.733	60.267	25.05	224	0.875	bicubic	-83.767	-58.837	-12
107	rexnet_130	10.400	89.600	41.547	58.453	7.56	224	0.875	bicubic	-83.500	-56.853	+3
108	hrnet_w44	10.320	89.680	39.507	60.493	67.06	224	0.875	bilinear	-83.230	-59.193	+21
109	resnext101_32x8d	10.187	89.813	37.827	62.173	88.79	224	0.875	bilinear	-83.643	-60.753	+6
110	regnetx_160	10.147	89.853	38.000	62.000	54.28	224	0.875	bicubic	-83.973	-60.750	-9
111	dpn98	10.133	89.867	36.587	63.413	61.57	224	0.875	bicubic	-83.997	-61.983	-11
112	cspresnext50	10.120	89.880	40.373	59.627	20.57	224	0.875	bilinear	-84.360	-58.417	-35
113	inception_v3	10.027	89.973	35.213	64.787	23.83	299	0.875	bicubic	-82.693	-62.757	+58
114	xception	9.987	90.013	38.027	61.973	22.86	299	0.897	bicubic	-83.473	-60.503	+23
115	regnety_064	9.947	90.053	39.067	60.933	30.58	224	0.875	bicubic	-84.203	-59.663	-17
116	dpn68b	9.787	90.213	38.053	61.947	12.61	224	0.875	bicubic	-83.903	-60.457	+7
117	gluon_resnet152_v1b	9.747	90.253	36.067	63.933	60.19	224	0.875	bicubic	-84.333	-62.383	-13
118	tf_efficientnet_lite3	9.667	90.333	39.000	61.000	8.20	300	0.904	bilinear	-84.533	-59.640	-26
119	tf_efficientnet_b2	9.653	90.347	38.880	61.120	9.11	260	0.890	bicubic	-84.707	-59.730	-38
120	tf_efficientnet_cc_b1_8e	9.573	90.427	36.773	63.227	39.72	240	0.882	bicubic	-84.327	-61.487	-9
121	res2net101_26w_4s	9.520	90.480	35.027	64.973	45.21	224	0.875	bilinear	-84.230	-63.283	0
122	seresnext26t_32x4d	9.347	90.653	37.520	62.480	16.82	224	0.875	bicubic	-83.723	-60.590	+34
123	hrnet_w40	9.227	90.773	36.893	63.107	57.56	224	0.875	bilinear	-84.263	-61.687	+11
124	regnetx_120	9.187	90.813	37.200	62.800	46.11	224	0.875	bicubic	-85.053	-61.450	-36
125	seresnext26d_32x4d	9.147	90.853	36.840	63.160	16.81	224	0.875	bicubic	-83.553	-61.310	+47
126	efficientnet_b1	9.120	90.880	37.360	62.640	7.79	240	0.875	bicubic	-84.140	-60.810	+22
127	resnest26d	9.080	90.920	37.853	62.147	17.07	224	0.875	bilinear	-84.250	-60.777	+16
128	regnety_040	9.000	91.000	37.053	62.947	20.65	224	0.875	bicubic	-84.860	-61.597	-14
129	gluon_resnext50_32x4d	8.947	91.053	36.333	63.667	25.03	224	0.875	bicubic	-84.863	-62.077	-13
130	rexnet_100	8.893	91.107	36.373	63.627	4.80	224	0.875	bicubic	-84.137	-61.817	+30
131	seresnext26tn_32x4d	8.893	91.107	36.907	63.093	16.81	224	0.875	bicubic	-83.927	-61.463	+34
132	mixnet_l	8.853	91.147	36.187	63.813	7.33	224	0.875	bicubic	-84.597	-62.033	+6
133	dla169	8.640	91.360	36.040	63.960	53.39	224	0.875	bilinear	-84.700	-62.560	+9
134	hrnet_w30	8.613	91.387	37.040	62.960	37.71	224	0.875	bilinear	-84.587	-61.370	+15
135	tf_efficientnet_b1_ap	8.453	91.547	35.253	64.747	7.79	240	0.882	bicubic	-85.237	-63.107	-11
136	resnetblur50	8.240	91.760	37.400	62.600	25.56	224	0.875	bicubic	-85.720	-61.190	-29
137	dla102x	8.200	91.800	37.013	62.987	26.31	224	0.875	bilinear	-85.320	-61.497	-5
138	hrnet_w32	8.040	91.960	37.507	62.493	41.23	224	0.875	bilinear	-85.490	-60.943	-7
139	res2net50_26w_8s	8.000	92.000	33.853	66.147	48.40	224	0.875	bilinear	-85.540	-64.407	-9
140	gluon_resnet101_v1c	7.987	92.013	33.360	66.640	44.57	224	0.875	bicubic	-85.683	-65.060	-15
141	gluon_resnet50_v1d	7.920	92.080	35.000	65.000	25.58	224	0.875	bicubic	-85.850	-63.390	-23
142	dla60_res2next	7.787	92.213	34.987	65.013	17.03	224	0.875	bilinear	-85.393	-63.423	+9
143	densenetblur121d	7.720	92.280	34.733	65.267	8.00	224	0.875	bicubic	-84.190	-63.337	+53
144	regnety_032	7.680	92.320	34.227	65.773	19.44	224	0.875	bicubic	-85.710	-64.413	-3
145	dla60_res2net	7.560	92.440	34.627	65.373	20.85	224	0.875	bilinear	-85.620	-63.793	+5
146	efficientnet_b1_pruned	7.440	92.560	34.533	65.467	6.33	240	0.882	bicubic	-85.330	-63.507	+21
147	wide_resnet101_2	7.360	92.640	34.147	65.853	126.89	224	0.875	bilinear	-86.360	-64.393	-25
148	regnetx_064	7.333	92.667	34.373	65.627	26.21	224	0.875	bicubic	-86.557	-64.257	-36
149	gluon_resnet101_v1b	7.227	92.773	32.773	67.227	44.55	224	0.875	bicubic	-86.523	-65.607	-29
150	efficientnet_b0	7.213	92.787	34.013	65.987	5.29	224	0.875	bicubic	-85.477	-64.057	+23
151	gluon_resnet50_v1s	7.213	92.787	33.507	66.493	25.68	224	0.875	bicubic	-86.407	-64.953	-24
152	tf_mixnet_l	7.147	92.853	31.613	68.387	7.33	224	0.875	bicubic	-86.163	-66.417	-7
153	tf_efficientnet_b1	7.133	92.867	33.040	66.960	7.79	240	0.882	bicubic	-86.367	-65.320	-20
154	tf_efficientnet_cc_b0_8e	7.120	92.880	31.787	68.213	24.01	224	0.875	bicubic	-85.710	-66.393	+10
155	ese_vovnet19b_dw	6.733	93.267	33.413	66.587	6.54	224	0.875	bicubic	-85.557	-64.677	+32
156	selecsls60b	6.733	93.267	33.267	66.733	32.77	224	0.875	bicubic	-86.567	-65.013	-9
157	efficientnet_es	6.707	93.293	33.840	66.160	5.44	224	0.875	bicubic	-86.433	-64.580	-4
158	res2net50_26w_6s	6.693	93.307	31.653	68.347	37.05	224	0.875	bilinear	-86.717	-66.627	-18
159	mixnet_m	6.627	93.373	32.053	67.947	5.01	224	0.875	bicubic	-85.803	-65.817	+23
160	skresnet34	6.480	93.520	31.547	68.453	22.28	224	0.875	bicubic	-85.910	-66.603	+24
161	dla60x	6.427	93.573	34.080	65.920	17.35	224	0.875	bilinear	-86.693	-64.430	-7
162	regnetx_080	6.307	93.693	32.320	67.680	39.57	224	0.875	bicubic	-87.563	-66.200	-49
163	swsl_resnet18	6.240	93.760	31.600	68.400	11.69	224	0.875	bilinear	-84.450	-66.100	+57
164	resnet152	6.040	93.960	32.053	67.947	60.19	224	0.875	bilinear	-87.260	-66.337	-18
165	wide_resnet50_2	6.000	94.000	32.147	67.853	68.88	224	0.875	bilinear	-87.170	-66.203	-13
166	regnetx_040	5.973	94.027	31.547	68.453	22.12	224	0.875	bicubic	-87.587	-66.993	-38
167	tf_efficientnet_cc_b0_4e	5.973	94.027	29.600	70.400	13.31	224	0.875	bicubic	-86.617	-68.480	+9
168	resnet50	5.933	94.067	29.093	70.907	25.56	224	0.875	bicubic	-87.877	-69.297	-51
169	dla102	5.880	94.120	32.707	67.293	33.27	224	0.875	bilinear	-87.180	-65.833	-12
170	regnety_016	5.680	94.320	30.413	69.587	11.20	224	0.875	bicubic	-87.350	-67.947	-11
171	selecsls60	5.653	94.347	32.507	67.493	30.67	224	0.875	bicubic	-87.377	-65.793	-10
172	res2next50	5.627	94.373	30.867	69.133	24.67	224	0.875	bilinear	-87.213	-67.313	-9
173	tf_efficientnet_em	5.520	94.480	32.173	67.827	6.90	240	0.882	bicubic	-87.960	-66.267	-38
174	hrnet_w18	5.493	94.507	30.960	69.040	21.30	224	0.875	bilinear	-86.827	-67.280	+12
175	resnest14d	5.480	94.520	28.547	71.453	10.61	224	0.875	bilinear	-86.240	-69.323	+26
176	tf_efficientnet_lite2	5.360	94.640	30.907	69.093	6.09	260	0.890	bicubic	-87.290	-67.323	-2
177	tf_efficientnet_b0_ap	5.307	94.693	28.813	71.187	5.29	224	0.875	bicubic	-86.893	-69.207	+14
178	densenet121	5.293	94.707	29.907	70.093	7.98	224	0.875	bicubic	-86.277	-68.123	+24
179	res2net50_26w_4s	5.160	94.840	29.360	70.640	25.70	224	0.875	bilinear	-87.340	-68.700	+2
180	tf_mixnet_m	5.080	94.920	28.147	71.853	5.01	224	0.875	bicubic	-87.250	-69.743	+5
181	mobilenetv3_large_100	5.067	94.933	28.187	71.813	5.48	224	0.875	bicubic	-86.253	-69.523	+24
182	tf_efficientnet_b0	5.067	94.933	28.800	71.200	5.29	224	0.875	bicubic	-87.183	-69.200	+7
183	res2net50_14w_8s	5.040	94.960	28.773	71.227	25.06	224	0.875	bilinear	-87.700	-69.407	-14
184	mixnet_s	4.907	95.093	28.573	71.427	4.13	224	0.875	bicubic	-86.923	-69.287	+15
185	mobilenetv3_rw	4.907	95.093	29.853	70.147	5.48	224	0.875	bicubic	-86.303	-67.807	+23
186	gluon_resnet50_v1c	4.893	95.107	28.147	71.853	25.58	224	0.875	bicubic	-88.137	-70.243	-28
187	regnetx_032	4.853	95.147	30.280	69.720	15.30	224	0.875	bicubic	-88.267	-68.110	-32
188	tv_resnext50_32x4d	4.840	95.160	30.307	69.693	25.03	224	0.875	bilinear	-87.900	-67.963	-18
189	resnet101	4.707	95.293	29.333	70.667	44.55	224	0.875	bilinear	-88.103	-68.917	-23
190	densenet161	4.693	95.307	29.547	70.453	28.68	224	0.875	bicubic	-87.807	-68.743	-10
191	selecsls42b	4.667	95.333	28.587	71.413	32.46	224	0.875	bicubic	-87.613	-69.563	-3
192	tf_efficientnet_lite1	4.613	95.387	28.387	71.613	5.42	240	0.882	bicubic	-88.007	-69.693	-17
193	mobilenetv2_120d	4.533	95.467	29.280	70.720	5.83	224	0.875	bicubic	-87.867	-68.770	-10
194	fbnetc_100	4.133	95.867	25.933	74.067	5.57	224	0.875	bilinear	-86.567	-71.277	+25
195	densenet201	4.120	95.880	27.547	72.453	20.01	224	0.875	bicubic	-88.630	-70.683	-27
196	gluon_resnet50_v1b	4.120	95.880	26.933	73.067	25.56	224	0.875	bicubic	-88.420	-71.237	-17
197	resnet26d	4.040	95.960	28.520	71.480	16.01	224	0.875	bicubic	-88.030	-69.440	-4
198	semnasnet_100	3.960	96.040	26.947	73.053	3.89	224	0.875	bicubic	-87.320	-70.613	+8
199	tf_mixnet_s	3.880	96.120	25.253	74.747	4.13	224	0.875	bicubic	-87.630	-72.367	+4
200	dpn68	3.867	96.133	26.080	73.920	12.61	224	0.875	bicubic	-88.143	-71.970	-6
201	regnety_008	3.813	96.187	27.133	72.867	6.26	224	0.875	bicubic	-87.937	-71.047	-1
202	dla60	3.773	96.227	27.933	72.067	22.04	224	0.875	bilinear	-88.457	-70.177	-12
203	ssl_resnet18	3.747	96.253	25.427	74.573	11.69	224	0.875	bilinear	-86.473	-72.123	+22
204	mobilenetv2_140	3.720	96.280	26.747	73.253	6.11	224	0.875	bicubic	-88.110	-70.943	-6
205	densenet169	3.707	96.293	25.613	74.387	14.15	224	0.875	bicubic	-88.223	-72.487	-10
206	regnetx_016	3.627	96.373	26.293	73.707	9.19	224	0.875	bicubic	-88.543	-71.917	-14
207	res2net50_48w_2s	3.587	96.413	26.613	73.387	25.29	224	0.875	bilinear	-88.963	-71.467	-30
208	spnasnet_100	3.547	96.453	24.293	75.707	4.42	224	0.875	bilinear	-86.803	-72.897	+16
209	tf_mobilenetv3_large_100	3.547	96.453	25.053	74.947	5.48	224	0.875	bilinear	-87.693	-72.607	-2
210	regnety_006	3.467	96.533	24.893	75.107	6.06	224	0.875	bicubic	-87.903	-72.817	-6
211	tf_efficientnet_es	3.427	96.573	27.493	72.507	5.44	224	0.875	bicubic	-89.123	-70.787	-33
212	efficientnet_lite0	3.253	96.747	25.867	74.133	4.65	224	0.875	bicubic	-87.887	-71.763	-2
213	dla34	3.227	96.773	23.573	76.427	15.74	224	0.875	bilinear	-87.533	-74.087	+5
214	regnety_004	3.200	96.800	22.653	77.347	4.34	224	0.875	bicubic	-87.300	-74.887	+8
215	mobilenetv2_110d	3.173	96.827	24.587	75.413	4.52	224	0.875	bicubic	-87.777	-72.963	+1
216	mnasnet_100	3.120	96.880	24.227	75.773	4.38	224	0.875	bicubic	-87.390	-73.243	+5
217	tf_efficientnet_lite0	3.080	96.920	22.907	77.093	4.65	224	0.875	bicubic	-87.960	-74.683	-3
218	skresnet18	3.013	96.987	22.800	77.200	11.96	224	0.875	bicubic	-86.647	-74.430	+10
219	resnet34	2.920	97.080	23.680	76.320	21.80	224	0.875	bilinear	-88.210	-73.940	-8
220	tf_mobilenetv3_large_075	2.867	97.133	21.573	78.427	3.99	224	0.875	bilinear	-86.813	-75.637	+7
221	hrnet_w18_small_v2	2.720	97.280	23.693	76.307	15.60	224	0.875	bilinear	-88.470	-74.207	-12
222	gluon_resnet34_v1b	2.667	97.333	21.680	78.320	21.80	224	0.875	bicubic	-88.293	-75.950	-7
223	regnetx_008	2.653	97.347	22.453	77.547	7.26	224	0.875	bicubic	-88.397	-75.257	-10
224	tv_densenet121	2.560	97.440	22.667	77.333	7.98	224	0.875	bicubic	-88.330	-75.043	-7
225	regnetx_006	2.507	97.493	20.653	79.347	6.20	224	0.875	bicubic	-87.843	-76.777	-2
226	resnet26	2.480	97.520	22.987	77.013	16.00	224	0.875	bicubic	-88.630	-74.753	-14
227	regnety_002	2.147	97.853	18.880	81.120	3.16	224	0.875	bicubic	-85.233	-77.710	+7
228	mobilenetv2_100	2.147	97.853	19.907	80.093	3.50	224	0.875	bicubic	-87.453	-77.233	+2
229	tf_mobilenetv3_small_100	2.013	97.987	15.867	84.133	2.54	224	0.875	bilinear	-83.177	-79.903	+9
230	tf_mobilenetv3_small_075	2.000	98.000	14.813	85.187	2.04	224	0.875	bilinear	-81.520	-79.977	+11
231	regnetx_004	1.960	98.040	19.173	80.827	5.16	224	0.875	bicubic	-86.940	-77.947	+1
232	tv_resnet34	1.867	98.133	20.000	80.000	21.80	224	0.875	bilinear	-88.073	-77.340	-6
233	dla46x_c	1.760	98.240	16.480	83.520	1.07	224	0.875	bilinear	-82.490	-78.790	+6
234	tf_mobilenetv3_large_minimal_100	1.627	98.373	17.120	82.880	3.92	224	0.875	bilinear	-87.343	-79.740	-3
235	dla60x_c	1.613	98.387	18.040	81.960	1.32	224	0.875	bilinear	-84.677	-78.120	+1
236	gluon_resnet18_v1b	1.547	98.453	16.613	83.387	11.69	224	0.875	bicubic	-86.853	-80.067	-3
237	hrnet_w18_small	1.533	98.467	18.120	81.880	13.19	224	0.875	bilinear	-87.517	-78.990	-7
238	dla46_c	1.520	98.480	15.267	84.733	1.30	224	0.875	bilinear	-82.130	-79.653	+2
239	regnetx_002	1.373	98.627	15.027	84.973	2.68	224	0.875	bicubic	-84.817	-80.953	-2
240	resnet18	1.160	98.840	16.213	83.787	11.69	224	0.875	bilinear	-86.230	-80.077	-6
241	tf_mobilenetv3_small_minimal_100	1.013	98.987	11.493	88.507	2.04	224	0.875	bilinear	-80.367	-82.177	+1
242	tv_resnet50	0.000	100.000	14.453	85.547	25.56	224	0.875	bilinear	-91.880	-83.587	-45