pytorch-image-models/results/results-sketch.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	58.810	41.190	81.076	18.924	828.41	224	0.875	bilinear	-26.618	-16.496	+5
3	ig_resnext101_32x32d	58.386	41.614	80.381	19.619	468.53	224	0.875	bilinear	-26.708	-17.057	+9
4	ig_resnext101_32x16d	57.690	42.310	79.905	20.095	194.03	224	0.875	bilinear	-26.480	-17.291	+14
5	swsl_resnext101_32x16d	57.458	42.542	80.385	19.615	194.03	224	0.875	bilinear	-25.888	-16.461	+18
6	swsl_resnext101_32x8d	56.438	43.562	78.944	21.056	88.79	224	0.875	bilinear	-27.845	-18.232	+10
7	ig_resnext101_32x8d	54.918	45.082	77.534	22.466	88.79	224	0.875	bilinear	-27.770	-19.103	+23
8	swsl_resnext101_32x4d	53.603	46.397	76.347	23.653	44.18	224	0.875	bilinear	-29.627	-20.413	+17
9	tf_efficientnet_l2_ns_475	51.494	48.506	73.928	26.072	480.31	475	0.936	bicubic	-36.740	-24.618	-6
10	swsl_resnext50_32x4d	50.437	49.563	73.368	26.633	25.03	224	0.875	bilinear	-31.745	-22.862	+24
11	swsl_resnet50	49.541	50.459	72.334	27.666	25.56	224	0.875	bilinear	-31.625	-23.638	+38
12	tf_efficientnet_b7_ns	47.800	52.200	69.640	30.360	66.35	600	0.949	bicubic	-39.040	-28.454	-8
13	tf_efficientnet_b6_ns	47.761	52.239	69.968	30.032	43.04	528	0.942	bicubic	-38.691	-27.914	-8
14	tf_efficientnet_l2_ns	47.570	52.430	70.019	29.981	480.31	800	0.960	bicubic	-40.782	-28.631	-12
15	tf_efficientnet_b8_ap	45.774	54.226	67.911	32.089	87.41	672	0.954	bicubic	-39.596	-29.383	-6
16	tf_efficientnet_b5_ns	45.615	54.385	67.842	32.158	30.39	456	0.934	bicubic	-40.473	-29.910	-10
17	tf_efficientnet_b4_ns	43.450	56.550	65.519	34.481	19.34	380	0.922	bicubic	-41.713	-31.951	-7
18	tf_efficientnet_b8	42.508	57.492	64.857	35.143	87.41	672	0.954	bicubic	-42.862	-32.533	-10
19	tf_efficientnet_b7	41.431	58.569	63.017	36.983	66.35	600	0.949	bicubic	-43.505	-34.186	-6
20	tf_efficientnet_b7_ap	41.429	58.571	62.874	37.126	66.35	600	0.949	bicubic	-43.691	-34.378	-9
21	tf_efficientnet_b5_ap	41.418	58.582	62.084	37.916	30.39	456	0.934	bicubic	-42.834	-34.890	-4
22	tf_efficientnet_b6_ap	41.099	58.901	62.355	37.645	43.04	528	0.942	bicubic	-43.689	-34.783	-8
23	tf_efficientnet_b4_ap	40.484	59.516	61.723	38.277	19.34	380	0.922	bicubic	-42.764	-34.669	+1
24	tf_efficientnet_b3_ns	39.584	60.416	61.453	38.547	12.23	300	0.904	bicubic	-44.464	-35.457	-4
25	tf_efficientnet_b5	38.356	61.644	59.913	40.087	30.39	456	0.934	bicubic	-45.456	-36.835	-3
26	resnest269e	37.315	62.685	57.468	42.532	110.93	416	0.928	bicubic	-47.203	-39.518	-11
27	tf_efficientnet_b3_ap	37.055	62.945	57.240	42.760	12.23	300	0.904	bicubic	-44.767	-38.384	+12
28	tf_efficientnet_b2_ns	36.183	63.817	57.551	42.449	9.11	260	0.890	bicubic	-46.197	-38.697	+4
29	ecaresnet101d	36.004	63.996	56.165	43.835	44.57	224	0.875	bicubic	-46.168	-39.881	+6
30	resnest200e	35.931	64.069	55.849	44.151	70.20	320	0.909	bicubic	-47.901	-41.045	-9
31	swsl_resnet18	35.858	64.142	58.455	41.545	11.69	224	0.875	bilinear	-37.418	-33.279	+195
32	resnest101e	35.373	64.627	55.780	44.220	48.28	256	0.875	bilinear	-47.517	-40.540	-4
33	ssl_resnext101_32x16d	34.603	65.397	55.931	44.069	194.03	224	0.875	bilinear	-47.241	-40.165	+5
34	resnest50d_4s2x40d	34.355	65.645	54.725	45.275	30.42	224	0.875	bicubic	-46.753	-40.833	+16
35	tf_efficientnet_b1_ns	34.157	65.843	55.489	44.511	7.79	240	0.882	bicubic	-47.231	-40.249	+12
36	tf_efficientnet_b4	34.064	65.936	54.198	45.802	19.34	380	0.922	bicubic	-48.958	-42.102	-9
37	ssl_resnext101_32x8d	34.017	65.983	55.601	44.399	88.79	224	0.875	bilinear	-47.599	-40.437	+6
38	tf_efficientnet_b6	33.998	66.002	54.544	45.456	43.04	528	0.942	bicubic	-50.112	-42.342	-19
39	efficientnet_b3_pruned	33.996	66.004	54.108	45.892	9.86	300	0.904	bicubic	-46.862	-41.134	+18
40	tresnet_xl	33.257	66.743	52.294	47.706	78.44	224	0.875	bilinear	-48.797	-43.642	-4
41	resnest50d_1s4x24d	33.147	66.853	52.839	47.161	25.68	224	0.875	bicubic	-47.841	-42.483	+11
42	rexnet_200	32.987	67.013	52.939	47.061	16.37	224	0.875	bicubic	-48.645	-42.729	0
43	resnest50d	32.972	67.028	52.713	47.287	27.48	224	0.875	bilinear	-48.002	-42.665	+10
44	tf_efficientnet_b3	32.860	67.140	52.950	47.050	12.23	300	0.904	bicubic	-48.776	-42.767	-3
45	pnasnet5large	32.848	67.152	50.500	49.500	86.06	331	0.911	bicubic	-49.934	-45.540	-16
46	nasnetalarge	32.775	67.225	50.141	49.859	88.75	331	0.911	bicubic	-49.845	-45.906	-15
47	inception_resnet_v2	32.738	67.262	50.648	49.352	55.84	299	0.897	bicubic	-47.720	-44.658	+20
48	gluon_resnet152_v1d	32.734	67.266	51.088	48.912	60.21	224	0.875	bicubic	-47.740	-44.118	+17
49	tf_efficientnet_b2_ap	32.681	67.319	52.239	47.761	9.11	260	0.890	bicubic	-47.619	-42.789	+27
50	tresnet_l	32.559	67.441	51.139	48.861	55.99	224	0.875	bilinear	-48.929	-44.485	-4
51	ens_adv_inception_resnet_v2	32.370	67.629	50.427	49.573	55.84	299	0.897	bicubic	-47.611	-44.509	+36
52	gluon_resnet152_v1s	32.331	67.669	50.526	49.474	60.32	224	0.875	bicubic	-48.685	-44.886	-1
53	gluon_seresnext101_64x4d	32.205	67.795	50.319	49.681	88.23	224	0.875	bicubic	-48.689	-44.989	+3
54	gluon_seresnext101_32x4d	32.107	67.893	51.237	48.763	48.96	224	0.875	bicubic	-48.797	-44.057	+1
55	cspresnext50	31.822	68.178	51.602	48.398	20.57	224	0.875	bilinear	-48.218	-43.342	+30
56	efficientnet_b3a	31.732	68.268	51.325	48.675	12.23	320	1.000	bicubic	-50.134	-44.511	-19
57	efficientnet_b3	31.555	68.445	51.276	48.724	12.23	300	0.904	bicubic	-49.939	-44.440	-12
58	resnet50	31.547	68.453	50.170	49.830	25.56	224	0.875	bicubic	-47.491	-44.220	+68
59	ssl_resnext101_32x4d	31.423	68.577	52.121	47.879	44.18	224	0.875	bilinear	-49.501	-43.607	-5
60	inception_v4	31.378	68.622	49.244	50.756	42.68	299	0.875	bicubic	-48.790	-45.724	+20
61	rexnet_150	31.366	68.634	51.288	48.712	9.73	224	0.875	bicubic	-48.944	-43.878	+13
62	ecaresnetlight	31.121	68.879	50.243	49.757	30.16	224	0.875	bicubic	-49.341	-45.007	+4
63	gluon_resnet101_v1s	31.115	68.885	49.793	50.207	44.67	224	0.875	bicubic	-49.187	-45.367	+12
64	tf_efficientnet_cc_b0_8e	31.087	68.913	50.761	49.239	24.01	224	0.875	bicubic	-46.821	-42.892	+100
65	ecaresnet50d	31.058	68.942	50.848	49.152	25.58	224	0.875	bicubic	-49.534	-44.472	-2
66	cspdarknet53	31.018	68.981	50.390	49.610	27.64	256	0.887	bilinear	-49.040	-44.694	+18
67	tresnet_m	30.997	69.003	48.682	51.318	31.39	224	0.875	bilinear	-49.805	-46.178	-7
68	gluon_resnet152_v1c	30.991	69.009	48.924	51.076	60.21	224	0.875	bicubic	-48.919	-45.916	+22
69	gluon_resnext101_64x4d	30.987	69.013	48.549	51.451	83.46	224	0.875	bicubic	-49.617	-46.439	-7
70	tf_efficientnet_cc_b1_8e	30.899	69.101	50.080	49.920	39.72	240	0.882	bicubic	-48.409	-44.290	+42
71	ecaresnet101d_pruned	30.897	69.103	50.013	49.987	24.88	224	0.875	bicubic	-49.921	-45.615	-13
72	gluon_resnext101_32x4d	30.877	69.123	48.537	51.463	44.18	224	0.875	bicubic	-49.457	-46.389	0
73	tf_efficientnet_lite4	30.830	69.170	50.386	49.614	13.01	380	0.920	bilinear	-50.706	-45.282	-29
74	dpn107	30.678	69.322	48.810	51.190	86.92	224	0.875	bicubic	-49.478	-46.100	+7
75	ese_vovnet39b	30.657	69.343	49.875	50.125	24.57	224	0.875	bicubic	-48.663	-44.837	+35
76	gluon_resnet152_v1b	30.623	69.376	48.521	51.479	60.19	224	0.875	bicubic	-49.063	-46.215	+24
77	tresnet_xl_448	30.614	69.386	49.069	50.931	78.44	448	0.875	bilinear	-52.436	-47.104	-51
78	ssl_resnext50_32x4d	30.594	69.406	50.657	49.343	25.03	224	0.875	bilinear	-49.724	-44.749	-5
79	gluon_resnet101_v1d	30.523	69.477	47.950	52.050	44.57	224	0.875	bicubic	-49.891	-47.064	-10
80	dpn68b	30.517	69.483	49.158	50.842	12.61	224	0.875	bicubic	-48.699	-45.256	+39
81	resnest26d	30.490	69.510	50.677	49.323	17.07	224	0.875	bilinear	-47.988	-43.621	+63
82	efficientnet_b2a	30.435	69.565	49.698	50.302	9.11	288	1.000	bicubic	-50.177	-45.620	-21
83	tf_efficientnet_b1_ap	30.421	69.579	49.553	50.447	7.79	240	0.882	bicubic	-48.859	-44.753	+33
84	seresnet50	30.077	69.923	49.292	50.708	28.09	224	0.875	bicubic	-50.197	-45.778	-6
85	dpn98	30.067	69.933	48.244	51.756	61.57	224	0.875	bicubic	-49.575	-46.354	+17
86	tf_efficientnet_b2	30.026	69.974	49.581	50.419	9.11	260	0.890	bicubic	-50.060	-45.327	-3
87	dpn131	30.024	69.976	48.146	51.854	79.25	224	0.875	bicubic	-49.798	-46.564	+7
88	dpn92	29.953	70.047	49.162	50.838	37.67	224	0.875	bicubic	-50.055	-45.674	-2
89	gluon_senet154	29.877	70.123	47.894	52.106	115.09	224	0.875	bicubic	-51.357	-47.454	-41
90	xception	29.865	70.135	48.686	51.314	22.86	299	0.897	bicubic	-49.187	-45.706	+35
91	adv_inception_v3	29.816	70.184	47.847	52.153	23.83	299	0.875	bicubic	-47.766	-45.889	+80
92	gluon_xception65	29.784	70.216	47.755	52.245	39.92	299	0.903	bicubic	-49.932	-47.105	+7
93	resnetblur50	29.625	70.375	48.248	51.752	25.56	224	0.875	bicubic	-49.661	-46.390	+22
94	efficientnet_b2	29.615	70.385	48.777	51.223	9.11	260	0.875	bicubic	-50.777	-46.299	-24
95	resnext101_32x8d	29.439	70.561	48.486	51.514	88.79	224	0.875	bilinear	-49.869	-46.032	+16
96	ssl_resnet50	29.423	70.577	49.781	50.219	25.56	224	0.875	bilinear	-49.799	-45.051	+21
97	resnext50_32x4d	29.331	70.669	47.397	52.603	25.03	224	0.875	bicubic	-50.438	-47.201	-1
98	ecaresnet50d_pruned	29.215	70.785	48.453	51.547	19.94	224	0.875	bicubic	-50.501	-46.427	0
99	tresnet_l_448	29.165	70.835	47.232	52.768	55.99	448	0.875	bilinear	-53.103	-48.744	-66
100	gluon_inception_v3	29.124	70.876	46.957	53.043	23.83	299	0.875	bicubic	-49.682	-47.413	+33
101	xception71	29.047	70.953	47.405	52.595	42.34	299	0.903	bicubic	-50.826	-47.517	-9
102	hrnet_w64	28.989	71.011	47.142	52.858	128.06	224	0.875	bilinear	-50.485	-47.510	+5
103	tf_efficientnet_b0_ns	28.902	71.098	49.011	50.989	5.29	224	0.875	bicubic	-49.756	-45.365	+36
104	xception65	28.896	71.104	47.167	52.833	39.92	299	0.903	bicubic	-50.656	-47.487	0
105	tf_efficientnet_b1	28.886	71.114	47.503	52.497	7.79	240	0.882	bicubic	-49.940	-46.695	+27
106	gluon_resnet101_v1b	28.878	71.121	46.389	53.611	44.55	224	0.875	bicubic	-50.427	-48.135	+7
107	skresnext50_32x4d	28.818	71.182	46.497	53.503	27.48	224	0.875	bicubic	-51.338	-48.145	-25
108	tf_efficientnet_lite3	28.660	71.340	47.354	52.646	8.20	300	0.904	bilinear	-51.160	-47.560	-13
109	gluon_seresnext50_32x4d	28.651	71.349	46.436	53.564	27.56	224	0.875	bicubic	-51.267	-48.386	-21
110	skresnet34	28.645	71.355	47.953	52.047	22.28	224	0.875	bicubic	-48.267	-45.369	+78
111	hrnet_w40	28.641	71.359	47.454	52.546	57.56	224	0.875	bilinear	-50.279	-47.016	+17
112	resnet152	28.533	71.467	47.118	52.882	60.19	224	0.875	bilinear	-49.779	-46.920	+38
113	hrnet_w48	28.413	71.587	47.586	52.414	77.47	224	0.875	bilinear	-50.887	-46.926	+1
114	gluon_resnext50_32x4d	28.375	71.624	45.328	54.672	25.03	224	0.875	bicubic	-50.978	-49.098	-5
115	efficientnet_b2_pruned	28.362	71.638	47.051	52.949	8.31	260	0.890	bicubic	-51.554	-47.805	-26
116	tf_efficientnet_b0_ap	28.346	71.654	47.531	52.469	5.29	224	0.875	bicubic	-48.740	-45.725	+68
117	tf_efficientnet_cc_b0_4e	28.315	71.685	47.364	52.636	13.31	224	0.875	bicubic	-48.991	-45.970	+61
118	dla102x2	28.313	71.687	46.761	53.239	41.28	224	0.875	bilinear	-51.135	-47.879	-10
119	dla169	28.313	71.687	47.391	52.609	53.39	224	0.875	bilinear	-50.375	-46.945	+19
120	mixnet_xl	28.287	71.713	46.702	53.298	11.90	224	0.875	bicubic	-52.189	-48.234	-56
121	gluon_resnet50_v1d	28.246	71.754	45.878	54.122	25.58	224	0.875	bicubic	-50.828	-48.592	+2
122	wide_resnet101_2	28.108	71.892	46.401	53.599	126.89	224	0.875	bilinear	-50.748	-47.881	+9
123	gluon_resnet101_v1c	28.104	71.896	45.961	54.039	44.57	224	0.875	bicubic	-51.430	-48.617	-18
124	regnetx_320	28.093	71.907	45.126	54.874	107.81	224	0.875	bicubic	-52.154	-49.900	-45
125	densenet161	28.081	71.919	46.641	53.359	28.68	224	0.875	bicubic	-49.277	-46.997	+52
126	regnety_320	28.059	71.941	45.444	54.556	145.05	224	0.875	bicubic	-52.753	-49.800	-67
127	xception41	27.888	72.112	45.890	54.110	26.97	299	0.903	bicubic	-50.628	-48.388	+14
128	regnetx_160	27.817	72.183	45.617	54.383	54.28	224	0.875	bicubic	-52.039	-49.213	-35
129	tf_inception_v3	27.780	72.220	45.721	54.279	23.83	299	0.875	bicubic	-50.078	-47.917	+38
130	res2net101_26w_4s	27.768	72.232	45.179	54.821	45.21	224	0.875	bilinear	-51.430	-49.253	-9
131	regnety_160	27.623	72.377	45.532	54.468	83.59	224	0.875	bicubic	-52.673	-49.430	-54
132	hrnet_w44	27.621	72.379	45.837	54.163	67.06	224	0.875	bilinear	-51.275	-48.531	-3
133	inception_v3	27.556	72.444	45.263	54.737	23.83	299	0.875	bicubic	-49.884	-48.213	+42
134	regnetx_080	27.405	72.595	45.002	54.998	39.57	224	0.875	bicubic	-51.789	-49.558	-12
135	hrnet_w30	27.381	72.619	46.554	53.446	37.71	224	0.875	bilinear	-50.825	-47.668	+19
136	hrnet_w32	27.369	72.631	45.994	54.006	41.23	224	0.875	bilinear	-51.081	-48.192	+11
137	gluon_resnet50_v1s	27.326	72.674	45.222	54.778	25.68	224	0.875	bicubic	-51.386	-49.016	-2
138	densenet201	27.265	72.735	46.222	53.778	20.01	224	0.875	bicubic	-50.021	-47.256	+41
139	densenetblur121d	27.228	72.772	46.299	53.701	8.00	224	0.875	bicubic	-49.360	-46.893	+55
140	regnety_064	27.220	72.780	44.847	55.153	30.58	224	0.875	bicubic	-52.502	-49.921	-43
141	efficientnet_b1_pruned	27.181	72.819	45.872	54.128	6.33	240	0.882	bicubic	-51.055	-47.962	+12
142	rexnet_130	27.094	72.906	45.933	54.067	7.56	224	0.875	bicubic	-52.406	-48.749	-36
143	res2net50_26w_8s	27.078	72.921	44.428	55.572	48.40	224	0.875	bilinear	-52.120	-49.940	-23
144	dla102x	27.061	72.939	45.475	54.525	26.31	224	0.875	bilinear	-51.449	-48.753	-2
145	resnet101	26.963	73.037	45.234	54.766	44.55	224	0.875	bilinear	-50.411	-48.306	+31
146	resnext50d_32x4d	26.876	73.124	44.436	55.564	25.05	224	0.875	bicubic	-52.800	-50.430	-45
147	regnetx_120	26.868	73.132	44.682	55.318	46.11	224	0.875	bicubic	-52.728	-50.056	-44
148	rexnet_100	26.831	73.169	45.369	54.631	4.80	224	0.875	bicubic	-51.027	-48.501	+18
149	densenet169	26.829	73.171	45.373	54.627	14.15	224	0.875	bicubic	-49.077	-47.653	+51
150	regnety_120	26.788	73.212	44.454	55.546	51.82	224	0.875	bicubic	-53.578	-50.672	-79
151	regnetx_064	26.784	73.216	44.927	55.073	26.21	224	0.875	bicubic	-52.288	-49.531	-27
152	regnetx_032	26.703	73.297	45.236	54.764	15.30	224	0.875	bicubic	-51.469	-48.852	+3
153	densenet121	26.664	73.336	45.900	54.100	7.98	224	0.875	bicubic	-48.914	-46.752	+51
154	tf_efficientnet_el	26.623	73.377	44.648	55.352	10.59	300	0.904	bicubic	-53.817	-50.516	-86
155	efficientnet_es	26.621	73.379	45.112	54.888	5.44	224	0.875	bicubic	-51.445	-48.814	+2
156	res2net50_26w_6s	26.595	73.405	43.990	56.010	37.05	224	0.875	bilinear	-51.975	-50.134	-16
157	dla60x	26.552	73.448	45.023	54.977	17.35	224	0.875	bilinear	-51.694	-48.994	-6
158	regnety_080	26.524	73.476	44.359	55.641	39.18	224	0.875	bicubic	-53.352	-50.471	-67
159	tf_efficientnet_b0	26.485	73.515	45.646	54.354	5.29	224	0.875	bicubic	-50.363	-47.582	+30
160	res2net50_14w_8s	26.483	73.517	44.371	55.629	25.06	224	0.875	bilinear	-51.667	-49.477	-4
161	gluon_resnet50_v1b	26.436	73.564	44.035	55.965	25.56	224	0.875	bicubic	-51.144	-49.681	+11
162	regnetx_040	26.243	73.757	44.438	55.562	22.12	224	0.875	bicubic	-52.239	-49.806	-19
163	dpn68	26.129	73.871	44.228	55.772	12.61	224	0.875	bicubic	-50.189	-48.750	+33
164	hrnet_w18	25.986	74.014	44.813	55.187	21.30	224	0.875	bilinear	-50.772	-48.631	+27
165	regnety_040	25.923	74.077	43.848	56.152	20.65	224	0.875	bicubic	-53.297	-50.808	-47
166	resnet34	25.888	74.112	43.982	56.018	21.80	224	0.875	bilinear	-49.222	-48.302	+47
167	res2net50_26w_4s	25.866	74.134	43.155	56.845	25.70	224	0.875	bilinear	-52.098	-50.699	-4
168	tresnet_m_448	25.852	74.148	42.874	57.126	31.39	448	0.875	bilinear	-55.862	-52.698	-128
169	gluon_resnet50_v1c	25.784	74.216	43.031	56.969	25.58	224	0.875	bicubic	-52.228	-50.957	-10
170	selecsls60	25.729	74.272	44.065	55.935	30.67	224	0.875	bicubic	-52.254	-49.763	-8
171	dla60_res2net	25.652	74.348	43.599	56.401	20.85	224	0.875	bilinear	-52.812	-50.607	-25
172	dla60_res2next	25.640	74.360	43.670	56.330	17.03	224	0.875	bilinear	-52.800	-50.482	-24
173	mixnet_l	25.512	74.488	43.455	56.545	7.33	224	0.875	bicubic	-53.464	-50.727	-46
174	tf_efficientnet_lite1	25.499	74.501	43.585	56.415	5.42	240	0.882	bicubic	-51.143	-49.641	+19
175	efficientnet_b1	25.469	74.531	43.284	56.716	7.79	240	0.875	bicubic	-53.229	-50.860	-38
176	tv_resnext50_32x4d	25.455	74.545	42.787	57.213	25.03	224	0.875	bilinear	-52.165	-50.909	-7
177	tf_mixnet_l	25.422	74.578	42.534	57.466	7.33	224	0.875	bicubic	-53.352	-51.464	-43
178	res2next50	25.389	74.611	42.508	57.492	24.67	224	0.875	bilinear	-52.857	-51.384	-26
179	regnety_032	25.332	74.668	42.911	57.089	19.44	224	0.875	bicubic	-53.554	-51.501	-49
180	selecsls60b	25.332	74.668	43.559	56.441	32.77	224	0.875	bicubic	-53.080	-50.614	-31
181	dla102	25.316	74.684	43.827	56.173	33.27	224	0.875	bilinear	-52.716	-50.119	-23
182	wide_resnet50_2	25.308	74.692	42.178	57.822	68.88	224	0.875	bilinear	-53.170	-51.916	-37
183	resnest14d	25.284	74.716	44.114	55.886	10.61	224	0.875	bilinear	-50.222	-48.404	+23
184	res2net50_48w_2s	25.027	74.973	42.208	57.792	25.29	224	0.875	bilinear	-52.495	-51.346	-11
185	efficientnet_b0	25.015	74.985	42.787	57.213	5.29	224	0.875	bicubic	-52.683	-50.745	-17
186	gluon_resnet34_v1b	24.939	75.061	42.243	57.757	21.80	224	0.875	bicubic	-49.649	-49.747	+34
187	mobilenetv2_120d	24.937	75.063	43.058	56.942	5.83	224	0.875	bicubic	-52.347	-50.434	-7
188	dla60	24.933	75.067	43.296	56.704	22.04	224	0.875	bilinear	-52.099	-50.022	-3
189	regnety_016	24.811	75.189	42.616	57.384	11.20	224	0.875	bicubic	-53.051	-51.104	-24
190	tf_efficientnet_em	24.542	75.458	42.412	57.588	6.90	240	0.882	bicubic	-54.166	-51.902	-54
191	tf_efficientnet_lite2	24.530	75.470	42.280	57.720	6.09	260	0.890	bicubic	-52.938	-51.474	-17
192	skresnet18	24.483	75.517	42.536	57.464	11.96	224	0.875	bicubic	-48.555	-48.632	+35
193	regnetx_016	24.473	75.527	42.514	57.486	9.19	224	0.875	bicubic	-52.477	-50.906	-7
194	tf_efficientnet_lite0	24.373	75.627	42.487	57.513	4.65	224	0.875	bicubic	-50.457	-49.689	+22
195	tv_resnet50	24.070	75.930	41.313	58.687	25.56	224	0.875	bilinear	-52.068	-51.551	+3
196	efficientnet_lite0	23.909	76.091	42.088	57.912	4.65	224	0.875	bicubic	-51.575	-50.422	+11
197	tv_densenet121	23.844	76.156	41.925	58.075	7.98	224	0.875	bicubic	-50.894	-50.225	+20
198	tf_efficientnet_es	23.819	76.181	41.331	58.669	5.44	224	0.875	bicubic	-53.439	-52.263	-16
199	mobilenetv2_140	23.712	76.288	41.477	58.523	6.11	224	0.875	bicubic	-52.804	-51.520	-4
200	mixnet_m	23.710	76.290	41.141	58.859	5.01	224	0.875	bicubic	-53.550	-52.283	-19
201	dla34	23.669	76.331	41.551	58.449	15.74	224	0.875	bilinear	-50.961	-50.527	+18
202	ese_vovnet19b_dw	23.535	76.465	41.288	58.712	6.54	224	0.875	bicubic	-53.263	-51.980	-12
203	tf_mixnet_m	23.484	76.516	40.989	59.011	5.01	224	0.875	bicubic	-53.458	-52.163	-16
204	tv_resnet34	23.473	76.527	41.367	58.633	21.80	224	0.875	bilinear	-49.839	-50.059	+21
205	selecsls42b	23.357	76.643	40.677	59.323	32.46	224	0.875	bicubic	-53.817	-52.713	-22
206	mobilenetv2_110d	23.066	76.934	40.716	59.284	4.52	224	0.875	bicubic	-51.970	-51.470	+9
207	mobilenetv3_large_100	22.655	77.345	40.781	59.219	5.48	224	0.875	bicubic	-53.111	-51.761	-6
208	mobilenetv3_rw	22.630	77.370	40.374	59.626	5.48	224	0.875	bicubic	-53.004	-52.334	-5
209	tf_mobilenetv3_large_100	22.569	77.431	39.767	60.233	5.48	224	0.875	bilinear	-52.949	-52.839	-4
210	hrnet_w18_small_v2	22.337	77.663	39.861	60.139	15.60	224	0.875	bilinear	-52.777	-52.555	+2
211	regnety_008	22.119	77.881	38.900	61.100	6.26	224	0.875	bicubic	-54.197	-54.166	-14
212	seresnext26tn_32x4d	21.991	78.009	38.482	61.518	16.81	224	0.875	bicubic	-55.995	-55.264	-51
213	seresnext26t_32x4d	21.985	78.015	38.570	61.430	16.82	224	0.875	bicubic	-56.013	-55.138	-53
214	regnety_006	21.971	78.029	38.955	61.045	6.06	224	0.875	bicubic	-53.275	-53.577	-4
215	regnetx_008	21.940	78.060	38.928	61.072	7.26	224	0.875	bicubic	-53.098	-53.408	-1
216	resnet26d	21.907	78.094	38.619	61.381	16.01	224	0.875	bicubic	-54.789	-54.531	-24
217	semnasnet_100	21.903	78.097	38.600	61.400	3.89	224	0.875	bicubic	-53.545	-54.004	-9
218	regnetx_006	21.738	78.263	38.904	61.096	6.20	224	0.875	bicubic	-52.115	-52.768	+5
219	gluon_resnet18_v1b	21.549	78.451	38.869	61.131	11.69	224	0.875	bicubic	-49.287	-50.893	+14
220	fbnetc_100	21.484	78.516	38.161	61.839	5.57	224	0.875	bilinear	-53.640	-54.225	-9
221	mnasnet_100	21.350	78.650	37.719	62.281	4.38	224	0.875	bicubic	-53.308	-54.395	-3
222	resnet26	21.295	78.705	38.018	61.982	16.00	224	0.875	bicubic	-53.997	-54.552	-13
223	ssl_resnet18	21.278	78.722	39.113	60.887	11.69	224	0.875	bilinear	-51.332	-52.303	+6
224	mixnet_s	21.254	78.746	38.187	61.813	4.13	224	0.875	bicubic	-54.738	-54.609	-25
225	seresnext26d_32x4d	21.252	78.748	37.311	62.689	16.81	224	0.875	bicubic	-56.350	-56.297	-55
226	regnetx_004	20.898	79.102	37.566	62.434	5.16	224	0.875	bicubic	-51.498	-53.264	+4
227	spnasnet_100	20.863	79.137	37.896	62.104	4.42	224	0.875	bilinear	-53.221	-53.922	-6
228	mobilenetv2_100	20.773	79.227	37.759	62.241	3.50	224	0.875	bicubic	-52.197	-53.257	0
229	tf_mixnet_s	20.470	79.530	36.607	63.393	4.13	224	0.875	bicubic	-55.180	-56.021	-27
230	regnety_004	20.415	79.585	37.002	62.998	4.34	224	0.875	bicubic	-53.619	-54.750	-8
231	hrnet_w18_small	20.368	79.632	37.093	62.907	13.19	224	0.875	bilinear	-51.974	-53.585	0
232	tf_mobilenetv3_large_075	20.366	79.634	36.764	63.236	3.99	224	0.875	bilinear	-53.072	-54.586	-8
233	resnet18	20.228	79.772	37.261	62.739	11.69	224	0.875	bilinear	-49.520	-51.816	+2
234	tf_mobilenetv3_large_minimal_100	20.122	79.878	36.908	63.092	3.92	224	0.875	bilinear	-52.126	-53.722	-2
235	regnety_002	17.450	82.550	32.431	67.569	3.16	224	0.875	bicubic	-52.802	-57.109	-1
236	regnetx_002	16.962	83.038	32.225	67.775	2.68	224	0.875	bicubic	-51.800	-56.331	0
237	dla60x_c	16.310	83.690	31.761	68.239	1.32	224	0.875	bilinear	-51.582	-56.665	+1
238	tf_mobilenetv3_small_100	16.226	83.775	31.223	68.777	2.54	224	0.875	bilinear	-51.697	-56.441	-1
239	tf_mobilenetv3_small_075	14.944	85.056	29.572	70.428	2.04	224	0.875	bilinear	-50.772	-56.558	+1
240	dla46_c	14.657	85.343	29.380	70.620	1.30	224	0.875	bilinear	-50.209	-56.912	+1
241	dla46x_c	14.382	85.618	29.191	70.809	1.07	224	0.875	bilinear	-51.588	-57.789	-2
242	tf_mobilenetv3_small_minimal_100	13.964	86.036	27.988	72.012	2.04	224	0.875	bilinear	-48.942	-56.242	0