pytorch-image-models/results/results-imagenet-real.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	90.563	9.437	98.779	1.221	480.31	800	0.960	bicubic	+2.211	+0.129	0
3	tf_efficientnet_l2_ns_475	90.537	9.463	98.710	1.290	480.31	475	0.936	bicubic	+2.303	+0.164	0
4	tf_efficientnet_b7_ns	90.100	9.900	98.614	1.386	66.35	600	0.949	bicubic	+3.260	+0.520	0
5	tf_efficientnet_b6_ns	89.782	10.218	98.510	1.490	43.04	528	0.942	bicubic	+3.330	+0.628	0
6	tf_efficientnet_b5_ns	89.651	10.349	98.482	1.518	30.39	456	0.934	bicubic	+3.563	+0.730	0
7	tf_efficientnet_b8_ap	89.581	10.419	98.305	1.695	87.41	672	0.954	bicubic	+4.211	+1.011	+2
8	tf_efficientnet_b7_ap	89.429	10.571	98.347	1.653	66.35	600	0.949	bicubic	+4.309	+1.095	+3
9	tf_efficientnet_b8	89.355	10.645	98.303	1.697	87.41	672	0.954	bicubic	+3.985	+0.913	-1
10	tf_efficientnet_b6_ap	89.342	10.658	98.281	1.719	43.04	528	0.942	bicubic	+4.554	+1.143	+4
11	tf_efficientnet_b4_ns	89.305	10.694	98.347	1.653	19.34	380	0.922	bicubic	+4.143	+0.877	-1
12	ig_resnext101_32x48d	89.120	10.880	98.130	1.870	828.41	224	0.875	bilinear	+3.692	+0.558	-5
13	ig_resnext101_32x32d	89.111	10.889	98.181	1.819	468.53	224	0.875	bilinear	+4.017	+0.743	-1
14	tf_efficientnet_b7	89.086	10.914	98.183	1.817	66.35	600	0.949	bicubic	+4.150	+0.979	-1
15	tf_efficientnet_b5_ap	88.938	11.062	98.164	1.836	30.39	456	0.934	bicubic	+4.686	+1.190	+2
16	ig_resnext101_32x16d	88.834	11.166	98.049	1.951	194.03	224	0.875	bilinear	+4.664	+0.853	+2
17	swsl_resnext101_32x8d	88.770	11.230	98.147	1.853	88.79	224	0.875	bilinear	+4.486	+0.971	-1
18	tf_efficientnet_b6	88.761	11.239	98.064	1.937	43.04	528	0.942	bicubic	+4.651	+1.177	+1
19	resnest269e	88.522	11.478	98.027	1.973	110.93	416	0.928	bicubic	+4.004	+1.041	-4
20	resnest200e	88.432	11.568	98.042	1.958	70.20	320	0.909	bicubic	+4.600	+1.148	+1
21	tf_efficientnet_b3_ns	88.426	11.574	98.029	1.971	12.23	300	0.904	bicubic	+4.378	+1.119	-1
22	tf_efficientnet_b4_ap	88.349	11.651	97.893	2.107	19.34	380	0.922	bicubic	+5.101	+1.501	+2
23	tf_efficientnet_b5	88.321	11.679	97.912	2.088	30.39	456	0.934	bicubic	+4.509	+1.164	-1
24	ig_resnext101_32x8d	88.146	11.854	97.856	2.144	88.79	224	0.875	bilinear	+5.458	+1.220	+6
25	swsl_resnext101_32x4d	88.099	11.901	97.967	2.033	44.18	224	0.875	bilinear	+4.869	+1.207	0
26	tf_efficientnet_b4	87.963	12.037	97.739	2.261	19.34	380	0.922	bicubic	+4.941	+1.439	+1
27	tresnet_xl_448	87.796	12.204	97.459	2.541	78.44	448	0.875	bilinear	+4.746	+1.285	-1
28	pnasnet5large	87.636	12.364	97.485	2.515	86.06	331	0.911	bicubic	+4.854	+1.445	+1
29	swsl_resnext101_32x16d	87.615	12.386	97.820	2.180	194.03	224	0.875	bilinear	+4.269	+0.974	-6
30	swsl_resnext50_32x4d	87.600	12.400	97.651	2.349	25.03	224	0.875	bilinear	+5.418	+1.421	+4
31	tf_efficientnet_b2_ns	87.557	12.443	97.628	2.372	9.11	260	0.890	bicubic	+5.177	+1.380	+1
32	tresnet_l_448	87.377	12.623	97.485	2.515	55.99	448	0.875	bilinear	+5.110	+1.509	+1
33	nasnetalarge	87.350	12.650	97.417	2.583	88.75	331	0.911	bicubic	+4.730	+1.371	-2
34	ecaresnet101d	87.288	12.712	97.562	2.438	44.57	224	0.875	bicubic	+5.116	+1.516	+1
35	resnest101e	87.284	12.716	97.560	2.440	48.28	256	0.875	bilinear	+4.394	+1.240	-7
36	tresnet_xl	87.224	12.776	97.400	2.600	78.44	224	0.875	bilinear	+5.170	+1.463	0
37	tf_efficientnet_b3_ap	87.192	12.808	97.380	2.620	12.23	300	0.904	bicubic	+5.370	+1.756	+2
38	efficientnet_b3a	86.993	13.007	97.397	2.603	12.23	320	1.000	bicubic	+5.127	+1.561	-1
39	ssl_resnext101_32x16d	86.856	13.143	97.517	2.483	194.03	224	0.875	bilinear	+5.013	+1.421	-1
40	rexnet_200	86.846	13.154	97.276	2.724	16.37	224	0.875	bicubic	+5.214	+1.608	+2
41	tf_efficientnet_b3	86.835	13.165	97.297	2.703	12.23	300	0.904	bicubic	+5.199	+1.579	0
42	tresnet_m_448	86.820	13.180	97.212	2.788	31.39	448	0.875	bilinear	+5.106	+1.640	-2
43	ssl_resnext101_32x8d	86.807	13.193	97.466	2.534	88.79	224	0.875	bilinear	+5.191	+1.428	0
44	swsl_resnet50	86.807	13.193	97.498	2.502	25.56	224	0.875	bilinear	+5.641	+1.526	+5
45	tf_efficientnet_lite4	86.803	13.197	97.263	2.737	13.01	380	0.920	bilinear	+5.267	+1.595	-1
46	efficientnet_b3	86.782	13.218	97.288	2.712	12.23	300	0.904	bicubic	+5.288	+1.572	-1
47	tresnet_l	86.767	13.233	97.271	2.729	55.99	224	0.875	bilinear	+5.279	+1.647	-1
48	tf_efficientnet_b1_ns	86.669	13.331	97.378	2.622	7.79	240	0.882	bicubic	+5.281	+1.640	-1
49	resnest50d_4s2x40d	86.592	13.408	97.269	2.731	30.42	224	0.875	bicubic	+5.484	+1.711	+1
50	efficientnet_b3_pruned	86.581	13.419	97.190	2.810	9.86	300	0.904	bicubic	+5.723	+1.948	+7
51	ssl_resnext101_32x4d	86.479	13.521	97.468	2.532	44.18	224	0.875	bilinear	+5.555	+1.740	+3
52	ecaresnet50d	86.470	13.530	97.186	2.814	25.58	224	0.875	bicubic	+5.878	+1.866	+11
53	gluon_resnet152_v1s	86.468	13.532	97.109	2.891	60.32	224	0.875	bicubic	+5.452	+1.697	-2
54	resnest50d_1s4x24d	86.447	13.553	97.148	2.852	25.68	224	0.875	bicubic	+5.459	+1.826	-2
55	efficientnet_b2a	86.304	13.696	96.990	3.010	9.11	288	1.000	bicubic	+5.692	+1.672	+6
56	gluon_senet154	86.278	13.722	96.949	3.051	115.09	224	0.875	bicubic	+5.044	+1.601	-8
57	resnest50d	86.240	13.761	97.073	2.927	27.48	224	0.875	bilinear	+5.266	+1.695	-4
58	ecaresnet101d_pruned	86.210	13.790	97.335	2.665	24.88	224	0.875	bicubic	+5.392	+1.707	0
59	tresnet_m	86.199	13.801	96.667	3.333	31.39	224	0.875	bilinear	+5.397	+1.807	+1
60	cspdarknet53	86.182	13.818	97.013	2.987	27.64	256	0.887	bilinear	+6.124	+1.929	+24
61	inception_v4	86.169	13.831	96.919	3.081	42.68	299	0.875	bicubic	+6.001	+1.951	+19
62	rexnet_150	86.154	13.846	97.058	2.942	9.73	224	0.875	bicubic	+5.844	+1.892	+12
63	tf_efficientnet_el	86.148	13.852	96.987	3.013	10.59	300	0.904	bicubic	+5.708	+1.823	+5
64	inception_resnet_v2	86.133	13.867	97.043	2.957	55.84	299	0.897	bicubic	+5.675	+1.737	+3
65	ssl_resnext50_32x4d	86.086	13.914	97.212	2.788	25.03	224	0.875	bilinear	+5.768	+1.806	+8
66	efficientnet_b2	86.056	13.944	96.917	3.083	9.11	260	0.875	bicubic	+5.664	+1.841	+4
67	gluon_resnet101_v1s	86.054	13.946	97.022	2.978	44.67	224	0.875	bicubic	+5.752	+1.862	+8
68	ecaresnetlight	86.052	13.948	97.069	2.931	30.16	224	0.875	bicubic	+5.590	+1.819	-2
69	gluon_seresnext101_32x4d	86.032	13.968	96.977	3.023	48.96	224	0.875	bicubic	+5.128	+1.683	-14
70	tf_efficientnet_b2_ap	85.975	14.025	96.810	3.190	9.11	260	0.890	bicubic	+5.675	+1.782	+6
71	gluon_seresnext101_64x4d	85.960	14.040	96.979	3.021	88.23	224	0.875	bicubic	+5.066	+1.671	-15
72	gluon_resnet152_v1d	85.917	14.083	96.812	3.188	60.21	224	0.875	bicubic	+5.443	+1.606	-7
73	tf_efficientnet_b2	85.902	14.098	96.862	3.139	9.11	260	0.890	bicubic	+5.816	+1.954	+10
74	seresnet50	85.857	14.143	97.004	2.995	28.09	224	0.875	bicubic	+5.583	+1.934	+4
75	gluon_resnet101_v1d	85.849	14.151	96.663	3.337	44.57	224	0.875	bicubic	+5.435	+1.649	-6
76	resnet50	85.804	14.196	96.712	3.288	25.56	224	0.875	bicubic	+6.766	+2.322	+50
77	mixnet_xl	85.798	14.202	96.712	3.288	11.90	224	0.875	bicubic	+5.322	+1.776	-13
78	ens_adv_inception_resnet_v2	85.781	14.220	96.759	3.241	55.84	299	0.897	bicubic	+5.799	+1.823	+9
79	tf_efficientnet_lite3	85.755	14.245	96.887	3.113	8.20	300	0.904	bilinear	+5.935	+1.973	+16
80	ese_vovnet39b	85.751	14.249	96.891	3.109	24.57	224	0.875	bicubic	+6.431	+2.179	+30
81	gluon_resnext101_32x4d	85.746	14.254	96.635	3.365	44.18	224	0.875	bicubic	+5.412	+1.709	-9
82	cspresnext50	85.740	14.260	96.840	3.160	20.57	224	0.875	bilinear	+5.700	+1.896	+3
83	regnety_320	85.727	14.273	96.725	3.275	145.05	224	0.875	bicubic	+4.915	+1.481	-24
84	xception71	85.697	14.303	96.776	3.224	42.34	299	0.903	bicubic	+5.823	+1.854	+8
85	gluon_resnext101_64x4d	85.693	14.307	96.644	3.356	83.46	224	0.875	bicubic	+5.089	+1.656	-23
86	efficientnet_b2_pruned	85.642	14.358	96.746	3.254	8.31	260	0.890	bicubic	+5.726	+1.890	+3
87	dpn107	85.640	14.360	96.729	3.271	86.92	224	0.875	bicubic	+5.484	+1.819	-6
88	ecaresnet50d_pruned	85.580	14.420	96.936	3.064	19.94	224	0.875	bicubic	+5.864	+2.056	+10
89	gluon_resnet152_v1c	85.580	14.420	96.646	3.354	60.21	224	0.875	bicubic	+5.670	+1.806	+1
90	resnext50d_32x4d	85.569	14.431	96.748	3.252	25.05	224	0.875	bicubic	+5.893	+1.882	+11
91	regnety_120	85.543	14.457	96.785	3.215	51.82	224	0.875	bicubic	+5.177	+1.659	-20
92	regnetx_320	85.524	14.476	96.669	3.331	107.81	224	0.875	bicubic	+5.278	+1.643	-13
93	regnety_160	85.501	14.499	96.620	3.380	83.59	224	0.875	bicubic	+5.205	+1.658	-16
94	dpn92	85.494	14.506	96.635	3.365	37.67	224	0.875	bicubic	+5.486	+1.799	-8
95	gluon_resnet152_v1b	85.475	14.525	96.550	3.450	60.19	224	0.875	bicubic	+5.789	+1.814	+5
96	rexnet_130	85.473	14.527	96.684	3.316	7.56	224	0.875	bicubic	+5.973	+2.002	+10
97	dpn131	85.398	14.602	96.639	3.361	79.25	224	0.875	bicubic	+5.576	+1.929	-3
98	regnetx_160	85.390	14.610	96.637	3.363	54.28	224	0.875	bicubic	+5.534	+1.807	-5
99	dla102x2	85.366	14.634	96.629	3.371	41.28	224	0.875	bilinear	+5.918	+1.989	+9
100	gluon_seresnext50_32x4d	85.336	14.664	96.667	3.333	27.56	224	0.875	bicubic	+5.418	+1.845	-12
101	xception65	85.315	14.685	96.637	3.363	39.92	299	0.903	bicubic	+5.763	+1.983	+3
102	skresnext50_32x4d	85.313	14.687	96.390	3.610	27.48	224	0.875	bicubic	+5.157	+1.748	-20
103	dpn98	85.311	14.689	96.469	3.531	61.57	224	0.875	bicubic	+5.669	+1.871	-1
104	gluon_resnet101_v1c	85.304	14.696	96.405	3.595	44.57	224	0.875	bicubic	+5.770	+1.827	+1
105	dpn68b	85.291	14.709	96.464	3.536	12.61	224	0.875	bicubic	+6.075	+2.050	+14
106	resnetblur50	85.283	14.717	96.531	3.470	25.56	224	0.875	bicubic	+5.997	+1.893	+8
107	regnety_064	85.283	14.717	96.639	3.361	30.58	224	0.875	bicubic	+5.561	+1.871	-9
108	regnety_080	85.245	14.755	96.633	3.367	39.18	224	0.875	bicubic	+5.369	+1.803	-17
109	resnext50_32x4d	85.221	14.779	96.526	3.474	25.03	224	0.875	bicubic	+5.453	+1.928	-13
110	resnext101_32x8d	85.187	14.813	96.445	3.555	88.79	224	0.875	bilinear	+5.879	+1.927	+1
111	gluon_inception_v3	85.183	14.817	96.526	3.474	23.83	299	0.875	bicubic	+6.377	+2.156	+22
112	hrnet_w48	85.151	14.849	96.492	3.508	77.47	224	0.875	bilinear	+5.851	+1.980	+2
113	gluon_xception65	85.148	14.851	96.597	3.403	39.92	299	0.903	bicubic	+5.432	+1.737	-14
114	gluon_resnet101_v1b	85.142	14.858	96.366	3.634	44.55	224	0.875	bicubic	+5.836	+1.842	-1
115	regnetx_120	85.131	14.869	96.477	3.523	46.11	224	0.875	bicubic	+5.535	+1.739	-12
116	xception	85.129	14.871	96.471	3.529	22.86	299	0.897	bicubic	+6.077	+2.079	+9
117	tf_efficientnet_b1_ap	85.127	14.873	96.405	3.595	7.79	240	0.882	bicubic	+5.847	+2.099	-1
118	hrnet_w64	85.119	14.881	96.744	3.256	128.06	224	0.875	bilinear	+5.645	+2.092	-11
119	ssl_resnet50	85.097	14.903	96.866	3.134	25.56	224	0.875	bilinear	+5.875	+2.034	-2
120	res2net101_26w_4s	85.093	14.907	96.381	3.619	45.21	224	0.875	bilinear	+5.895	+1.949	+1
121	tf_efficientnet_cc_b1_8e	85.063	14.937	96.422	3.578	39.72	240	0.882	bicubic	+5.755	+2.052	-9
122	res2net50_26w_8s	85.029	14.971	96.419	3.580	48.40	224	0.875	bilinear	+5.831	+2.052	-2
123	resnest26d	85.008	14.992	96.637	3.363	17.07	224	0.875	bilinear	+6.530	+2.339	+21
124	gluon_resnext50_32x4d	84.995	15.005	96.426	3.574	25.03	224	0.875	bicubic	+5.641	+2.000	-15
125	tf_efficientnet_b0_ns	84.984	15.016	96.503	3.497	5.29	224	0.875	bicubic	+6.326	+2.127	+14
126	regnety_040	84.948	15.052	96.612	3.388	20.65	224	0.875	bicubic	+5.728	+1.956	-8
127	tf_efficientnet_em	84.926	15.074	96.424	3.576	6.90	240	0.882	bicubic	+6.218	+2.110	+9
128	dla169	84.920	15.080	96.535	3.465	53.39	224	0.875	bilinear	+6.232	+2.199	+10
129	tf_efficientnet_b1	84.918	15.082	96.364	3.636	7.79	240	0.882	bicubic	+6.092	+2.166	+3
130	hrnet_w44	84.884	15.116	96.434	3.566	67.06	224	0.875	bilinear	+5.988	+2.066	-1
131	gluon_resnet50_v1s	84.862	15.138	96.443	3.557	25.68	224	0.875	bicubic	+6.150	+2.205	+4
132	regnetx_080	84.862	15.138	96.434	3.566	39.57	224	0.875	bicubic	+5.668	+1.874	-10
133	gluon_resnet50_v1d	84.832	15.168	96.398	3.602	25.58	224	0.875	bicubic	+5.758	+1.928	-10
134	dla60_res2next	84.830	15.170	96.411	3.589	17.03	224	0.875	bilinear	+6.390	+2.259	+14
135	mixnet_l	84.822	15.178	96.328	3.672	7.33	224	0.875	bicubic	+5.846	+2.146	-8
136	resnet152	84.815	15.185	96.225	3.775	60.19	224	0.875	bilinear	+6.503	+2.187	+14
137	dla102x	84.813	15.187	96.552	3.448	26.31	224	0.875	bilinear	+6.303	+2.324	+4
138	dla60_res2net	84.813	15.187	96.481	3.519	20.85	224	0.875	bilinear	+6.349	+2.275	+9
139	xception41	84.792	15.208	96.413	3.587	26.97	299	0.903	bicubic	+6.276	+2.135	+2
140	regnetx_064	84.781	15.219	96.490	3.510	26.21	224	0.875	bicubic	+5.709	+2.032	-16
141	hrnet_w40	84.743	15.257	96.554	3.446	57.56	224	0.875	bilinear	+5.823	+2.084	-13
142	res2net50_26w_6s	84.726	15.274	96.281	3.719	37.05	224	0.875	bilinear	+6.156	+2.157	-2
143	selecsls60b	84.657	15.343	96.300	3.700	32.77	224	0.875	bicubic	+6.245	+2.126	+6
144	hrnet_w32	84.651	15.349	96.407	3.593	41.23	224	0.875	bilinear	+6.201	+2.221	+3
145	regnety_032	84.606	15.394	96.424	3.576	19.44	224	0.875	bicubic	+5.720	+2.012	-15
146	regnetx_040	84.600	15.400	96.383	3.617	22.12	224	0.875	bicubic	+6.118	+2.139	-3
147	efficientnet_es	84.591	15.409	96.311	3.689	5.44	224	0.875	bicubic	+6.525	+2.385	+10
148	hrnet_w30	84.572	15.428	96.388	3.612	37.71	224	0.875	bilinear	+6.366	+2.165	+6
149	tf_mixnet_l	84.564	15.437	96.244	3.756	7.33	224	0.875	bicubic	+5.790	+2.246	-15
150	wide_resnet101_2	84.557	15.443	96.349	3.651	126.89	224	0.875	bilinear	+5.701	+2.067	-19
151	efficientnet_b1	84.531	15.469	96.153	3.847	7.79	240	0.875	bicubic	+5.833	+2.009	-14
152	dla60x	84.523	15.477	96.285	3.715	17.35	224	0.875	bilinear	+6.277	+2.267	-1
153	wide_resnet50_2	84.427	15.573	96.257	3.743	68.88	224	0.875	bilinear	+5.949	+2.163	-8
154	efficientnet_b1_pruned	84.393	15.607	96.140	3.860	6.33	240	0.882	bicubic	+6.157	+2.306	-1
155	res2net50_26w_4s	84.365	15.635	96.082	3.918	25.70	224	0.875	bilinear	+6.401	+2.228	+8
156	res2net50_14w_8s	84.309	15.691	96.072	3.929	25.06	224	0.875	bilinear	+6.159	+2.224	0
157	selecsls60	84.288	15.712	96.095	3.905	30.67	224	0.875	bicubic	+6.306	+2.267	+5
158	regnetx_032	84.237	15.763	96.247	3.753	15.30	224	0.875	bicubic	+6.065	+2.159	-3
159	res2next50	84.226	15.774	95.997	4.003	24.67	224	0.875	bilinear	+5.980	+2.105	-7
160	gluon_resnet50_v1c	84.207	15.793	96.161	3.839	25.58	224	0.875	bicubic	+6.195	+2.173	-1
161	dla102	84.190	15.810	96.206	3.794	33.27	224	0.875	bilinear	+6.158	+2.260	-3
162	rexnet_100	84.162	15.838	96.255	3.745	4.80	224	0.875	bicubic	+6.304	+2.385	+4
163	tf_inception_v3	84.136	15.864	95.918	4.082	23.83	299	0.875	bicubic	+6.278	+2.280	+4
164	res2net50_48w_2s	84.126	15.874	95.965	4.035	25.29	224	0.875	bilinear	+6.604	+2.411	+9
165	tf_efficientnet_lite2	84.094	15.906	96.069	3.931	6.09	260	0.890	bicubic	+6.626	+2.315	+9
166	efficientnet_b0	84.038	15.962	95.956	4.044	5.29	224	0.875	bicubic	+6.340	+2.424	+2
167	seresnext26t_32x4d	84.004	15.996	95.852	4.148	16.82	224	0.875	bicubic	+6.006	+2.144	-7
168	tf_efficientnet_cc_b0_8e	83.966	16.034	96.065	3.935	24.01	224	0.875	bicubic	+6.058	+2.411	-4
169	tv_resnext50_32x4d	83.959	16.041	95.960	4.040	25.03	224	0.875	bilinear	+6.339	+2.264	0
170	regnety_016	83.955	16.045	96.005	3.995	11.20	224	0.875	bicubic	+6.093	+2.285	-5
171	gluon_resnet50_v1b	83.940	16.060	96.012	3.988	25.56	224	0.875	bicubic	+6.360	+2.296	+1
172	densenet161	83.906	16.094	96.010	3.990	28.68	224	0.875	bicubic	+6.548	+2.372	+5
173	adv_inception_v3	83.902	16.098	95.935	4.065	23.83	299	0.875	bicubic	+6.320	+2.199	-2
174	mobilenetv2_120d	83.893	16.107	95.909	4.091	5.83	224	0.875	bicubic	+6.609	+2.417	+6
175	seresnext26tn_32x4d	83.878	16.122	95.931	4.069	16.81	224	0.875	bicubic	+5.892	+2.185	-14
176	resnet101	83.848	16.152	95.892	4.108	44.55	224	0.875	bilinear	+6.474	+2.352	0
177	inception_v3	83.761	16.239	95.879	4.121	23.83	299	0.875	bicubic	+6.321	+2.403	-2
178	seresnext26d_32x4d	83.754	16.246	95.849	4.151	16.81	224	0.875	bicubic	+6.152	+2.241	-8
179	dla60	83.729	16.271	95.933	4.067	22.04	224	0.875	bilinear	+6.697	+2.615	+6
180	tf_efficientnet_b0_ap	83.650	16.350	95.779	4.221	5.29	224	0.875	bicubic	+6.564	+2.523	+4
181	tf_efficientnet_es	83.647	16.352	95.939	4.061	5.44	224	0.875	bicubic	+6.389	+2.345	+1
182	skresnet34	83.641	16.359	95.933	4.067	22.28	224	0.875	bicubic	+6.729	+2.611	+6
183	tf_efficientnet_cc_b0_4e	83.639	16.361	95.740	4.260	13.31	224	0.875	bicubic	+6.333	+2.406	-5
184	densenet201	83.556	16.444	95.811	4.189	20.01	224	0.875	bicubic	+6.270	+2.333	-5
185	mixnet_m	83.515	16.485	95.689	4.311	5.01	224	0.875	bicubic	+6.255	+2.265	-4
186	tf_efficientnet_b0	83.515	16.485	95.719	4.281	5.29	224	0.875	bicubic	+6.667	+2.491	+3
187	hrnet_w18	83.500	16.500	95.907	4.093	21.30	224	0.875	bilinear	+6.742	+2.463	+4
188	densenetblur121d	83.472	16.527	95.822	4.178	8.00	224	0.875	bicubic	+6.884	+2.630	+6
189	selecsls42b	83.457	16.543	95.745	4.255	32.46	224	0.875	bicubic	+6.284	+2.355	-6
190	tf_efficientnet_lite1	83.344	16.656	95.642	4.358	5.42	240	0.882	bicubic	+6.702	+2.416	+3
191	regnetx_016	83.195	16.805	95.740	4.260	9.19	224	0.875	bicubic	+6.245	+2.320	-5
192	mobilenetv2_140	83.182	16.818	95.689	4.311	6.11	224	0.875	bicubic	+6.666	+2.693	+3
193	dpn68	83.178	16.822	95.597	4.402	12.61	224	0.875	bicubic	+6.860	+2.620	+3
194	tf_mixnet_m	83.176	16.824	95.461	4.539	5.01	224	0.875	bicubic	+6.234	+2.309	-7
195	ese_vovnet19b_dw	83.109	16.890	95.779	4.221	6.54	224	0.875	bicubic	+6.311	+2.511	-5
196	resnet26d	83.050	16.950	95.604	4.396	16.01	224	0.875	bicubic	+6.354	+2.454	-4
197	tv_resnet50	82.958	17.042	95.467	4.533	25.56	224	0.875	bilinear	+6.820	+2.603	+1
198	densenet121	82.823	17.177	95.585	4.415	7.98	224	0.875	bicubic	+7.245	+2.933	+6
199	densenet169	82.683	17.317	95.600	4.400	14.15	224	0.875	bicubic	+6.776	+2.574	+1
200	mixnet_s	82.525	17.476	95.356	4.644	4.13	224	0.875	bicubic	+6.532	+2.560	-1
201	regnety_008	82.493	17.508	95.487	4.513	6.26	224	0.875	bicubic	+6.177	+2.421	-4
202	efficientnet_lite0	82.382	17.619	95.279	4.721	4.65	224	0.875	bicubic	+6.898	+2.769	+5
203	resnest14d	82.352	17.648	95.339	4.661	10.61	224	0.875	bilinear	+6.846	+2.821	+3
204	mobilenetv3_rw	82.275	17.725	95.234	4.766	5.48	224	0.875	bicubic	+6.641	+2.526	-1
205	semnasnet_100	82.251	17.749	95.230	4.770	3.89	224	0.875	bicubic	+6.803	+2.626	+3
206	mobilenetv3_large_100	82.177	17.823	95.196	4.804	5.48	224	0.875	bicubic	+6.410	+2.654	-5
207	resnet34	82.138	17.862	95.130	4.870	21.80	224	0.875	bilinear	+7.028	+2.846	+6
208	mobilenetv2_110d	82.070	17.930	95.076	4.923	4.52	224	0.875	bicubic	+7.034	+2.890	+7
209	tf_mixnet_s	82.038	17.962	95.121	4.879	4.13	224	0.875	bicubic	+6.388	+2.493	-7
210	hrnet_w18_small_v2	81.961	18.039	95.164	4.836	15.60	224	0.875	bilinear	+6.847	+2.748	+2
211	tf_efficientnet_lite0	81.952	18.048	95.168	4.832	4.65	224	0.875	bicubic	+7.122	+2.992	+5
212	resnet26	81.944	18.056	95.241	4.759	16.00	224	0.875	bicubic	+6.652	+2.671	-3
213	tf_mobilenetv3_large_100	81.848	18.152	95.070	4.930	5.48	224	0.875	bilinear	+6.330	+2.464	-8
214	tv_densenet121	81.726	18.274	95.034	4.966	7.98	224	0.875	bicubic	+6.988	+2.884	+3
215	regnety_006	81.700	18.300	95.115	4.885	6.06	224	0.875	bicubic	+6.454	+2.583	-5
216	dla34	81.658	18.342	94.878	5.122	15.74	224	0.875	bilinear	+7.028	+2.800	+3
217	fbnetc_100	81.559	18.441	94.970	5.030	5.57	224	0.875	bilinear	+6.436	+2.584	-6
218	gluon_resnet34_v1b	81.500	18.500	94.810	5.190	21.80	224	0.875	bicubic	+6.912	+2.820	+2
219	regnetx_008	81.485	18.515	95.059	4.941	7.26	224	0.875	bicubic	+6.447	+2.724	-5
220	mnasnet_100	81.459	18.541	94.899	5.101	4.38	224	0.875	bicubic	+6.801	+2.785	-2
221	spnasnet_100	80.878	19.122	94.526	5.474	4.42	224	0.875	bilinear	+6.794	+2.708	0
222	regnety_004	80.659	19.341	94.686	5.314	4.34	224	0.875	bicubic	+6.625	+2.934	0
223	skresnet18	80.637	19.363	94.378	5.622	11.96	224	0.875	bicubic	+7.599	+3.210	+4
224	regnetx_006	80.629	19.371	94.524	5.476	6.20	224	0.875	bicubic	+6.777	+2.852	-1
225	swsl_resnet18	80.575	19.425	94.743	5.256	11.69	224	0.875	bilinear	+7.299	+3.010	+1
226	tv_resnet34	80.389	19.611	94.436	5.564	21.80	224	0.875	bilinear	+7.077	+3.010	-1
227	mobilenetv2_100	80.257	19.743	94.195	5.805	3.50	224	0.875	bicubic	+7.287	+3.179	+1
228	ssl_resnet18	80.101	19.899	94.590	5.410	11.69	224	0.875	bilinear	+7.491	+3.174	+1
229	tf_mobilenetv3_large_075	80.093	19.907	94.184	5.816	3.99	224	0.875	bilinear	+6.655	+2.834	-5
230	hrnet_w18_small	79.557	20.443	93.898	6.102	13.19	224	0.875	bilinear	+7.215	+3.220	+1
231	regnetx_004	79.435	20.565	93.853	6.147	5.16	224	0.875	bicubic	+7.039	+3.023	-1
232	tf_mobilenetv3_large_minimal_100	79.222	20.778	93.706	6.294	3.92	224	0.875	bilinear	+6.974	+3.076	0
233	gluon_resnet18_v1b	78.372	21.628	93.138	6.862	11.69	224	0.875	bicubic	+7.536	+3.376	0
234	regnety_002	77.405	22.595	92.914	7.086	3.16	224	0.875	bicubic	+7.153	+3.374	0
235	resnet18	77.276	22.724	92.756	7.244	11.69	224	0.875	bilinear	+7.528	+3.678	0
236	regnetx_002	76.124	23.876	92.211	7.789	2.68	224	0.875	bicubic	+7.362	+3.655	0
237	dla60x_c	75.637	24.363	92.177	7.823	1.32	224	0.875	bilinear	+7.745	+3.751	+1
238	tf_mobilenetv3_small_100	74.717	25.283	91.257	8.743	2.54	224	0.875	bilinear	+6.795	+3.593	-1
239	dla46x_c	73.647	26.353	91.095	8.905	1.07	224	0.875	bilinear	+7.677	+4.115	0
240	tf_mobilenetv3_small_075	72.812	27.188	90.036	9.964	2.04	224	0.875	bilinear	+7.096	+3.906	0
241	dla46_c	72.601	27.399	90.499	9.501	1.30	224	0.875	bilinear	+7.735	+4.207	0
242	tf_mobilenetv3_small_minimal_100	70.111	29.889	88.505	11.495	2.04	224	0.875	bilinear	+7.205	+4.275	0