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	58.832	41.168	81.078	18.922	828.41	224	0.875	bilinear	-27.616	-16.802	+3
3	ig_resnext101_32x32d	58.411	41.589	80.424	19.576	468.53	224	0.875	bilinear	-26.739	-17.046	+8
4	ig_resnext101_32x16d	57.675	42.325	79.895	20.105	194.03	224	0.875	bilinear	-26.528	-17.322	+19
5	swsl_resnext101_32x16d	57.449	42.551	80.391	19.609	194.03	224	0.875	bilinear	-25.895	-16.449	+27
6	swsl_resnext101_32x8d	56.438	43.562	78.950	21.050	88.79	224	0.875	bilinear	-27.944	-18.416	+14
7	ig_resnext101_32x8d	54.927	45.073	77.524	22.476	88.79	224	0.875	bilinear	-27.769	-19.120	+35
8	swsl_resnext101_32x4d	53.583	46.417	76.372	23.628	44.18	224	0.875	bilinear	-29.639	-20.396	+27
9	tf_efficientnet_l2_ns_475	51.434	48.566	73.841	26.159	480.31	475	0.936	bicubic	-32.306	-22.929	-8
10	swsl_resnext50_32x4d	50.412	49.588	73.362	26.638	25.03	224	0.875	bilinear	-31.760	-22.870	+40
11	swsl_resnet50	49.525	50.475	72.354	27.646	25.56	224	0.875	bilinear	-31.611	-23.620	+58
12	tf_efficientnet_b6_ns	47.729	52.271	69.927	30.073	43.04	528	0.942	bicubic	-40.511	-28.623	-9
13	tf_efficientnet_b7_ns	47.718	52.282	69.604	30.396	66.35	600	0.949	bicubic	-40.632	-29.052	-11
14	tf_efficientnet_l2_ns	47.478	52.522	69.919	30.081	480.31	800	0.960	bicubic	-36.886	-27.121	-14
15	tf_efficientnet_b8_ap	45.766	54.234	67.915	32.086	87.41	672	0.954	bicubic	-40.312	-29.838	-9
16	tf_efficientnet_b5_ns	45.603	54.397	67.826	32.174	30.39	456	0.934	bicubic	-41.225	-30.258	-12
17	vit_base_resnet50_384	43.512	56.488	66.808	33.192	98.95	384	1.000	bicubic	-41.608	-30.442	-5
18	tf_efficientnet_b4_ns	43.444	56.556	65.474	34.526	19.34	380	0.922	bicubic	-41.906	-31.916	-9
19	vit_large_patch16_384	43.308	56.692	66.453	33.547	304.72	384	1.000	bicubic	-42.066	-30.845	-11
20	tf_efficientnet_b8	42.492	57.508	64.867	35.133	87.41	672	0.954	bicubic	-42.931	-32.711	-13
21	tf_efficientnet_b7_ap	41.451	58.549	62.898	37.102	66.35	600	0.949	bicubic	-43.715	-34.464	-11
22	tf_efficientnet_b7	41.447	58.553	63.051	36.949	66.35	600	0.949	bicubic	-43.539	-34.245	-8
23	tf_efficientnet_b5_ap	41.408	58.592	62.098	37.902	30.39	456	0.934	bicubic	-42.862	-35.072	-2
24	resnetv2_152x4_bitm	41.235	58.765	64.281	35.719	936.53	480	1.000	bilinear	-43.855	-33.159	-11
25	tf_efficientnet_b6_ap	41.113	58.887	62.381	37.619	43.04	528	0.942	bicubic	-43.835	-35.069	-10
26	vit_large_patch16_224	40.730	59.270	63.584	36.416	304.33	224	0.900	bicubic	-42.330	-32.861	+11
27	tf_efficientnet_b4_ap	40.480	59.520	61.736	38.264	19.34	380	0.922	bicubic	-42.776	-34.658	+6
28	tf_efficientnet_b3_ns	39.511	60.489	61.453	38.547	12.23	300	0.904	bicubic	-44.602	-35.435	-3
29	resnet200d	38.666	61.334	59.144	40.856	64.69	256	0.940	bicubic	-44.576	-37.344	+5
30	resnet152d	38.484	61.516	59.209	40.791	60.21	256	0.940	bicubic	-44.650	-37.141	+6
31	tf_efficientnet_b5	38.362	61.638	59.919	40.081	30.39	456	0.934	bicubic	-45.490	-36.971	-3
32	vit_base_patch16_384	38.128	61.872	60.435	39.565	86.86	384	1.000	bicubic	-46.126	-36.538	-10
33	seresnet152d	38.044	61.956	58.315	41.685	66.84	256	0.940	bicubic	-45.708	-38.805	+30
34	resnet152d_320	37.880	62.120	58.368	41.632	60.21	320	1.000	bicubic	-45.785	-38.366	-2
35	resnet200d_320	37.509	62.491	58.307	41.693	64.69	320	1.000	bicubic	-46.535	-38.603	-8
36	resnest269e	37.299	62.701	57.460	42.540	110.93	416	0.928	bicubic	-47.635	-39.744	-19
37	tf_efficientnet_b3_ap	37.061	62.939	57.248	42.752	12.23	300	0.904	bicubic	-44.761	-38.372	+19
38	resnetv2_152x2_bitm	36.835	63.165	59.917	40.083	236.34	480	1.000	bilinear	-47.951	-37.221	-20
39	seresnet152d_320	36.809	63.191	56.729	43.271	66.84	320	1.000	bicubic	-47.594	-40.705	+18
40	efficientnet_b3a	36.426	63.574	56.843	43.157	12.23	320	1.000	bicubic	-45.828	-39.271	+9
41	tf_efficientnet_b2_ns	36.139	63.861	57.515	42.485	9.11	260	0.890	bicubic	-46.253	-38.723	+5
42	efficientnet_b3	36.045	63.955	56.391	43.609	12.23	300	0.904	bicubic	-46.037	-39.635	+11
43	ecaresnet101d	36.008	63.992	56.199	43.801	44.57	224	0.875	bicubic	-46.168	-39.857	+8
44	resnest200e	35.941	64.059	55.877	44.123	70.20	320	0.909	bicubic	-48.027	-40.941	-15
45	swsl_resnet18	35.852	64.147	58.462	41.538	11.69	224	0.875	bilinear	-37.428	-33.295	+211
46	resnet101d	35.829	64.171	55.385	44.615	44.57	256	0.940	bicubic	-46.481	-40.679	+1
47	vit_base_patch16_224	35.784	64.216	57.388	42.612	86.57	224	0.900	bicubic	-46.000	-38.738	+11
48	resnest101e	35.397	64.603	55.800	44.200	48.28	256	0.875	bilinear	-47.481	-40.514	-5
49	resnetv2_101x3_bitm	35.292	64.707	57.885	42.115	387.93	480	1.000	bilinear	-49.234	-39.101	-29
50	resnet101d_320	34.864	65.136	54.218	45.782	44.57	320	1.000	bicubic	-48.160	-42.238	-8
51	ssl_resnext101_32x16d	34.609	65.391	55.951	44.049	194.03	224	0.875	bilinear	-47.229	-40.141	+5
52	regnety_032	34.402	65.598	54.281	45.719	19.44	224	0.875	bicubic	-47.606	-41.631	+3
53	resnest50d_4s2x40d	34.361	65.639	54.733	45.267	30.42	224	0.875	bicubic	-46.753	-40.821	+19
54	tf_efficientnet_b1_ns	34.108	65.892	55.462	44.538	7.79	240	0.882	bicubic	-47.278	-40.278	+13
55	tf_efficientnet_b4	34.066	65.934	54.200	45.800	19.34	380	0.922	bicubic	-48.960	-42.098	-14
56	ssl_resnext101_32x8d	34.047	65.953	55.596	44.404	88.79	224	0.875	bilinear	-47.559	-40.448	+7
57	tf_efficientnet_b6	34.037	65.963	54.558	45.442	43.04	528	0.942	bicubic	-50.127	-42.636	-31
58	efficientnet_b3_pruned	34.017	65.983	54.124	45.876	9.86	300	0.904	bicubic	-46.841	-41.116	+21
59	tresnet_xl	33.274	66.726	52.312	47.688	78.44	224	0.875	bilinear	-48.780	-43.620	-5
60	resnest50d_1s4x24d	33.151	66.849	52.852	47.148	25.68	224	0.875	bicubic	-47.853	-42.474	+14
61	rexnet_200	32.986	67.014	52.947	47.053	16.37	224	0.875	bicubic	-48.641	-42.725	+1
62	resnest50d	32.980	67.020	52.717	47.283	27.48	224	0.875	bilinear	-47.978	-42.661	+13
63	tf_efficientnet_b3	32.842	67.158	52.956	47.044	12.23	300	0.904	bicubic	-48.804	-42.766	-2
64	nasnetalarge	32.775	67.225	50.150	49.850	88.75	331	0.911	bicubic	-49.851	-45.900	-19
65	gluon_resnet152_v1d	32.748	67.252	51.080	48.920	60.21	224	0.875	bicubic	-47.730	-44.120	+22
66	tf_efficientnet_b2_ap	32.669	67.331	52.247	47.753	9.11	260	0.890	bicubic	-47.633	-42.785	+31
67	tresnet_l	32.557	67.443	51.145	48.855	55.99	224	0.875	bilinear	-48.929	-44.475	-2
68	wide_resnet50_2	32.484	67.516	51.463	48.537	68.88	224	0.875	bicubic	-48.968	-44.059	-2
69	vit_base_patch32_384	32.471	67.529	52.457	47.543	88.30	384	1.000	bicubic	-49.185	-43.673	-9
70	resnetv2_50x3_bitm	32.469	67.531	54.293	45.707	217.32	480	1.000	bilinear	-51.339	-42.453	-39
71	gluon_resnet152_v1s	32.333	67.667	50.528	49.472	60.32	224	0.875	bicubic	-48.685	-44.892	+2
72	gluon_seresnext101_64x4d	32.219	67.781	50.343	49.657	88.23	224	0.875	bicubic	-48.665	-44.971	+5
73	gluon_seresnext101_32x4d	32.115	67.885	51.231	48.769	48.96	224	0.875	bicubic	-48.757	-44.061	+5
74	seresnext50_32x4d	32.019	67.981	51.253	48.747	27.56	224	0.875	bicubic	-49.255	-44.365	-5
75	cspresnext50	31.816	68.184	51.602	48.398	20.57	224	0.875	bilinear	-48.230	-43.342	+33
76	resnet50	31.571	68.429	50.178	49.822	25.56	224	0.875	bicubic	-47.465	-44.214	+75
77	ssl_resnext101_32x4d	31.463	68.537	52.139	47.861	44.18	224	0.875	bilinear	-49.451	-43.595	-1
78	rexnet_150	31.372	68.628	51.296	48.704	9.73	224	0.875	bicubic	-48.938	-43.866	+17
79	cspresnet50	31.264	68.736	51.231	48.769	21.62	256	0.887	bilinear	-48.310	-43.477	+47
80	gluon_resnet101_v1s	31.152	68.848	49.828	50.172	44.67	224	0.875	bicubic	-49.134	-45.332	+18
81	ecaresnetlight	31.138	68.862	50.256	49.744	30.16	224	0.875	bicubic	-49.320	-44.994	+8
82	tf_efficientnet_cc_b0_8e	31.085	68.915	50.771	49.229	24.01	224	0.875	bicubic	-46.823	-42.881	+107
83	ecaresnet50d	31.079	68.921	50.854	49.146	25.58	224	0.875	bicubic	-49.535	-44.454	+1
84	resnet50d	31.036	68.964	49.846	50.154	25.58	224	0.875	bicubic	-49.512	-45.312	+2
85	cspdarknet53	31.017	68.984	50.406	49.594	27.64	256	0.887	bilinear	-49.032	-44.686	+22
86	gluon_resnet152_v1c	31.011	68.989	48.940	51.060	60.21	224	0.875	bicubic	-48.903	-45.908	+25
87	tresnet_m	30.999	69.001	48.692	51.308	31.39	224	0.875	bilinear	-49.805	-46.166	-6
88	gluon_resnext101_64x4d	30.997	69.003	48.555	51.445	83.46	224	0.875	bicubic	-49.633	-46.443	-5
89	ecaresnet101d_pruned	30.901	69.099	50.013	49.987	24.88	224	0.875	bicubic	-49.915	-45.625	-9
90	gluon_resnext101_32x4d	30.887	69.113	48.559	51.441	44.18	224	0.875	bicubic	-49.447	-46.349	+4
91	tf_efficientnet_cc_b1_8e	30.887	69.113	50.080	49.920	39.72	240	0.882	bicubic	-48.439	-44.292	+42
92	tf_efficientnet_lite4	30.849	69.150	50.404	49.596	13.01	380	0.920	bilinear	-50.687	-45.256	-28
93	ese_vovnet39b	30.690	69.310	49.871	50.129	24.57	224	0.875	bicubic	-48.622	-44.851	+42
94	dpn107	30.673	69.327	48.834	51.166	86.92	224	0.875	bicubic	-49.483	-46.076	+10
95	tresnet_xl_448	30.622	69.379	49.077	50.923	78.44	448	0.875	bilinear	-52.434	-47.109	-55
96	gluon_resnet152_v1b	30.616	69.384	48.519	51.481	60.19	224	0.875	bicubic	-49.076	-46.215	+26
97	ssl_resnext50_32x4d	30.606	69.394	50.691	49.309	25.03	224	0.875	bilinear	-49.696	-44.721	-1
98	gluon_resnet101_v1d	30.535	69.465	47.977	52.023	44.57	224	0.875	bicubic	-49.867	-47.043	-7
99	dpn68b	30.517	69.483	49.130	50.870	12.61	224	0.875	bicubic	-48.695	-45.292	+44
100	resnest26d	30.502	69.498	50.677	49.323	17.07	224	0.875	bilinear	-47.978	-43.623	+69
101	efficientnet_b2a	30.441	69.559	49.700	50.300	9.11	288	1.000	bicubic	-50.173	-45.618	-16
102	tf_efficientnet_b1_ap	30.417	69.583	49.549	50.451	7.79	240	0.882	bicubic	-48.859	-44.753	+37
103	dpn98	30.064	69.936	48.252	51.748	61.57	224	0.875	bicubic	-49.587	-46.354	+21
104	seresnet50	30.061	69.939	49.329	50.671	28.09	224	0.875	bicubic	-50.197	-45.737	-4
105	dpn131	30.026	69.974	48.158	51.842	79.25	224	0.875	bicubic	-49.800	-46.554	+11
106	tf_efficientnet_b2	30.020	69.980	49.592	50.408	9.11	260	0.890	bicubic	-50.052	-45.312	0
107	legacy_senet154	29.991	70.009	48.046	51.954	115.09	224	0.875	bilinear	-51.335	-47.462	-39
108	dpn92	29.975	70.025	49.178	50.822	37.67	224	0.875	bicubic	-50.015	-45.666	+1
109	xception	29.895	70.106	48.732	51.268	22.86	299	0.897	bicubic	-49.152	-45.664	+41
110	gluon_senet154	29.890	70.109	47.885	52.115	115.09	224	0.875	bicubic	-51.338	-47.467	-40
111	adv_inception_v3	29.814	70.186	47.871	52.129	23.83	299	0.875	bicubic	-47.768	-45.869	+87
112	gluon_xception65	29.796	70.204	47.776	52.224	39.92	299	0.903	bicubic	-49.906	-47.091	+9
113	resnetblur50	29.617	70.383	48.268	51.732	25.56	224	0.875	bicubic	-49.669	-46.372	+25
114	efficientnet_b2	29.602	70.398	48.791	51.209	9.11	260	0.875	bicubic	-50.776	-46.287	-22
115	efficientnet_em	29.492	70.508	48.948	51.052	6.90	240	0.882	bicubic	-49.772	-45.842	+25
116	resnext101_32x8d	29.433	70.567	48.502	51.498	88.79	224	0.875	bilinear	-49.871	-46.024	+21
117	ssl_resnet50	29.423	70.577	49.761	50.239	25.56	224	0.875	bilinear	-49.813	-45.069	+24
118	resnext50_32x4d	29.346	70.654	47.397	52.603	25.03	224	0.875	bicubic	-50.444	-47.209	0
119	resnet34d	29.321	70.679	48.425	51.575	21.82	224	0.875	bicubic	-47.793	-44.957	+92
120	ecaresnet50d_pruned	29.218	70.781	48.458	51.542	19.94	224	0.875	bicubic	-50.494	-46.418	0
121	tresnet_l_448	29.175	70.825	47.256	52.744	55.99	448	0.875	bilinear	-53.085	-48.722	-73
122	gluon_inception_v3	29.134	70.866	46.963	53.037	23.83	299	0.875	bicubic	-49.666	-47.417	+35
123	xception71	29.055	70.945	47.441	52.559	42.34	299	0.903	bicubic	-50.829	-47.492	-10
124	hrnet_w64	28.996	71.004	47.142	52.858	128.06	224	0.875	bilinear	-50.466	-47.512	+6
125	tf_efficientnet_b0_ns	28.904	71.096	48.991	51.009	5.29	224	0.875	bicubic	-49.756	-45.381	+39
126	gluon_resnet101_v1b	28.900	71.100	46.405	53.595	44.55	224	0.875	bicubic	-50.404	-48.125	+10
127	xception65	28.900	71.100	47.173	52.827	39.92	299	0.903	bicubic	-50.650	-47.485	0
128	resnetv2_101x1_bitm	28.886	71.114	49.525	50.475	44.54	480	1.000	bilinear	-53.328	-46.947	-78
129	tf_efficientnet_b1	28.873	71.127	47.515	52.485	7.79	240	0.882	bicubic	-49.971	-46.681	+27
130	skresnext50_32x4d	28.851	71.149	46.507	53.493	27.48	224	0.875	bicubic	-51.295	-48.133	-25
131	tf_efficientnet_lite3	28.664	71.336	47.374	52.626	8.20	300	0.904	bilinear	-51.162	-47.534	-14
132	gluon_seresnext50_32x4d	28.653	71.347	46.470	53.530	27.56	224	0.875	bicubic	-51.271	-48.352	-22
133	skresnet34	28.651	71.349	47.967	52.033	22.28	224	0.875	bicubic	-48.279	-45.355	+84
134	hrnet_w40	28.633	71.367	47.452	52.548	57.56	224	0.875	bilinear	-50.299	-47.026	+19
135	tv_resnet152	28.535	71.465	47.126	52.874	60.19	224	0.875	bilinear	-49.785	-46.926	+40
136	hrnet_w48	28.421	71.579	47.586	52.414	77.47	224	0.875	bilinear	-50.895	-46.928	-2
137	gluon_resnext50_32x4d	28.389	71.611	45.359	54.641	25.03	224	0.875	bicubic	-50.965	-49.064	-5
138	efficientnet_b2_pruned	28.364	71.636	47.059	52.941	8.31	260	0.890	bicubic	-51.542	-47.797	-26
139	tf_efficientnet_b0_ap	28.356	71.644	47.535	52.465	5.29	224	0.875	bicubic	-48.746	-45.729	+74
140	tf_efficientnet_cc_b0_4e	28.346	71.654	47.372	52.628	13.31	224	0.875	bicubic	-48.974	-45.950	+65
141	dla169	28.340	71.660	47.397	52.603	53.39	224	0.875	bilinear	-50.354	-46.933	+21
142	dla102x2	28.326	71.674	46.780	53.220	41.28	224	0.875	bilinear	-51.116	-47.866	-11
143	mixnet_xl	28.285	71.715	46.706	53.294	11.90	224	0.875	bicubic	-52.189	-48.228	-55
144	gluon_resnet50_v1d	28.238	71.762	45.923	54.077	25.58	224	0.875	bicubic	-50.826	-48.547	+5
145	gluon_resnet101_v1c	28.122	71.878	45.998	54.002	44.57	224	0.875	bicubic	-51.410	-48.590	-17
146	wide_resnet101_2	28.104	71.896	46.425	53.575	126.89	224	0.875	bilinear	-50.750	-47.857	+9
147	densenet161	28.098	71.902	46.653	53.347	28.68	224	0.875	bicubic	-49.262	-46.981	+57
148	regnetx_320	28.095	71.906	45.130	54.870	107.81	224	0.875	bicubic	-52.159	-49.900	-47
149	regnety_320	28.069	71.931	45.452	54.548	145.05	224	0.875	bicubic	-52.729	-49.794	-67
150	xception41	27.894	72.106	45.896	54.104	26.97	299	0.903	bicubic	-50.642	-48.388	+16
151	regnetx_160	27.829	72.171	45.627	54.373	54.28	224	0.875	bicubic	-52.009	-49.197	-36
152	tf_inception_v3	27.808	72.192	45.725	54.275	23.83	299	0.875	bicubic	-50.058	-47.921	+39
153	res2net101_26w_4s	27.786	72.214	45.194	54.806	45.21	224	0.875	bilinear	-51.408	-49.240	-8
154	hrnet_w44	27.639	72.361	45.837	54.163	67.06	224	0.875	bilinear	-51.251	-48.537	0
155	regnety_160	27.605	72.395	45.542	54.458	83.59	224	0.875	bicubic	-52.671	-49.426	-56
156	inception_v3	27.582	72.418	45.263	54.737	23.83	299	0.875	bicubic	-49.882	-48.213	+46
157	regnetx_080	27.399	72.601	44.998	55.002	39.57	224	0.875	bicubic	-51.813	-49.556	-13
158	hrnet_w32	27.387	72.613	46.026	53.974	41.23	224	0.875	bilinear	-51.059	-48.164	+13
159	hrnet_w30	27.379	72.621	46.560	53.440	37.71	224	0.875	bilinear	-50.827	-47.664	+20
160	gluon_resnet50_v1s	27.334	72.666	45.257	54.743	25.68	224	0.875	bicubic	-51.366	-48.989	+1
161	densenet201	27.277	72.723	46.212	53.788	20.01	224	0.875	bicubic	-50.013	-47.268	+45
162	densenetblur121d	27.247	72.752	46.322	53.678	8.00	224	0.875	bicubic	-49.338	-46.874	+61
163	regnety_064	27.218	72.782	44.845	55.155	30.58	224	0.875	bicubic	-52.514	-49.919	-44
164	efficientnet_b1_pruned	27.175	72.825	45.890	54.110	6.33	240	0.882	bicubic	-51.073	-47.946	+13
165	rexnet_130	27.110	72.890	45.951	54.049	7.56	224	0.875	bicubic	-52.384	-48.723	-36
166	res2net50_26w_8s	27.096	72.904	44.432	55.568	48.40	224	0.875	bilinear	-52.096	-49.936	-20
167	vit_small_patch16_224	27.088	72.912	45.723	54.277	48.75	224	0.900	bicubic	-50.766	-47.701	+26
168	dla102x	27.057	72.943	45.507	54.493	26.31	224	0.875	bilinear	-51.453	-48.723	-1
169	tv_resnet101	26.976	73.024	45.245	54.755	44.55	224	0.875	bilinear	-50.390	-48.310	+34
170	resnext50d_32x4d	26.874	73.126	44.444	55.556	25.05	224	0.875	bicubic	-52.794	-50.422	-47
171	regnetx_120	26.870	73.130	44.674	55.326	46.11	224	0.875	bicubic	-52.740	-50.058	-46
172	rexnet_100	26.860	73.140	45.381	54.619	4.80	224	0.875	bicubic	-51.002	-48.497	+20
173	densenet169	26.847	73.153	45.409	54.591	14.15	224	0.875	bicubic	-49.051	-47.613	+56
174	regnety_120	26.811	73.189	44.505	55.495	51.82	224	0.875	bicubic	-53.567	-50.617	-81
175	legacy_seresnext101_32x4d	26.805	73.195	43.497	56.503	48.96	224	0.875	bilinear	-53.423	-51.523	-73
176	regnetx_064	26.799	73.201	44.947	55.053	26.21	224	0.875	bicubic	-52.264	-49.513	-28
177	regnetx_032	26.715	73.285	45.259	54.741	15.30	224	0.875	bicubic	-51.433	-48.829	+3
178	legacy_seresnet152	26.678	73.322	43.943	56.057	66.82	224	0.875	bilinear	-51.988	-50.433	-15
179	densenet121	26.666	73.334	45.902	54.098	7.98	224	0.875	bicubic	-48.898	-46.746	+54
180	tf_efficientnet_el	26.633	73.368	44.654	55.346	10.59	300	0.904	bicubic	-53.816	-50.516	-90
181	efficientnet_es	26.631	73.370	45.116	54.884	5.44	224	0.875	bicubic	-51.458	-48.816	+1
182	res2net50_26w_6s	26.595	73.405	44.000	56.000	37.05	224	0.875	bilinear	-51.971	-50.120	-17
183	dla60x	26.562	73.438	45.049	54.951	17.35	224	0.875	bilinear	-51.688	-48.975	-7
184	regnety_080	26.552	73.448	44.377	55.623	39.18	224	0.875	bicubic	-53.318	-50.453	-70
185	tf_efficientnet_b0	26.483	73.517	45.656	54.344	5.29	224	0.875	bicubic	-50.365	-47.576	+33
186	res2net50_14w_8s	26.481	73.519	44.377	55.623	25.06	224	0.875	bilinear	-51.657	-49.479	-5
187	gluon_resnet50_v1b	26.426	73.574	44.047	55.953	25.56	224	0.875	bicubic	-51.152	-49.671	+12
188	regnetx_040	26.247	73.753	44.462	55.538	22.12	224	0.875	bicubic	-52.237	-49.791	-20
189	dpn68	26.120	73.880	44.239	55.761	12.61	224	0.875	bicubic	-50.192	-48.729	+37
190	hrnet_w18	25.992	74.008	44.811	55.189	21.30	224	0.875	bilinear	-50.772	-48.631	+30
191	regnety_040	25.929	74.071	43.858	56.142	20.65	224	0.875	bicubic	-53.303	-50.786	-49
192	resnet34	25.892	74.108	43.988	56.012	21.80	224	0.875	bilinear	-49.214	-48.288	+50
193	res2net50_26w_4s	25.884	74.116	43.180	56.820	25.70	224	0.875	bilinear	-52.108	-50.672	-8
194	tresnet_m_448	25.852	74.148	42.883	57.117	31.39	448	0.875	bilinear	-55.866	-52.683	-135
195	gluon_resnet50_v1c	25.788	74.213	43.035	56.965	25.58	224	0.875	bicubic	-52.220	-50.953	-11
196	selecsls60	25.727	74.273	44.070	55.930	30.67	224	0.875	bicubic	-52.263	-49.758	-10
197	dla60_res2net	25.681	74.319	43.605	56.395	20.85	224	0.875	bilinear	-52.779	-50.601	-27
198	dla60_res2next	25.634	74.366	43.679	56.321	17.03	224	0.875	bilinear	-52.810	-50.479	-26
199	tf_efficientnet_lite1	25.524	74.476	43.601	56.399	5.42	240	0.882	bicubic	-51.142	-49.637	+23
200	mixnet_l	25.520	74.480	43.481	56.519	7.33	224	0.875	bicubic	-53.460	-50.701	-48
201	tv_resnext50_32x4d	25.477	74.523	42.821	57.179	25.03	224	0.875	bilinear	-52.137	-50.863	-5
202	efficientnet_b1	25.473	74.527	43.296	56.704	7.79	240	0.875	bicubic	-53.233	-50.858	-42
203	tf_mixnet_l	25.438	74.562	42.530	57.470	7.33	224	0.875	bicubic	-53.338	-51.472	-45
204	res2next50	25.406	74.594	42.520	57.480	24.67	224	0.875	bilinear	-52.830	-51.386	-26
205	legacy_seresnet101	25.332	74.668	42.823	57.177	49.33	224	0.875	bilinear	-53.048	-51.439	-31
206	dla102	25.326	74.674	43.811	56.189	33.27	224	0.875	bilinear	-52.704	-50.141	-23
207	selecsls60b	25.316	74.684	43.575	56.425	32.77	224	0.875	bicubic	-53.094	-50.603	-34
208	resnest14d	25.312	74.688	44.106	55.894	10.61	224	0.875	bilinear	-50.202	-48.412	+26
209	legacy_seresnext50_32x4d	25.227	74.772	41.962	58.038	27.56	224	0.875	bilinear	-53.857	-52.472	-62
210	res2net50_48w_2s	25.019	74.981	42.219	57.781	25.29	224	0.875	bilinear	-52.515	-51.341	-10
211	efficientnet_b0	25.017	74.983	42.797	57.203	5.29	224	0.875	bicubic	-52.689	-50.725	-17
212	gluon_resnet34_v1b	24.931	75.069	42.253	57.747	21.80	224	0.875	bicubic	-49.657	-49.743	+37
213	dla60	24.931	75.069	43.310	56.690	22.04	224	0.875	bilinear	-52.105	-50.014	+2
214	mobilenetv2_120d	24.927	75.073	43.054	56.946	5.83	224	0.875	bicubic	-52.351	-50.456	-6
215	regnety_016	24.801	75.199	42.620	57.380	11.20	224	0.875	bicubic	-53.067	-51.106	-25
216	tf_efficientnet_em	24.549	75.451	42.418	57.582	6.90	240	0.882	bicubic	-54.163	-51.910	-57
217	tf_efficientnet_lite2	24.532	75.468	42.247	57.753	6.09	260	0.890	bicubic	-52.950	-51.501	-16
218	regnetx_016	24.498	75.502	42.520	57.480	9.19	224	0.875	bicubic	-52.448	-50.906	-2
219	skresnet18	24.483	75.517	42.544	57.456	11.96	224	0.875	bicubic	-48.543	-48.628	+38
220	tf_efficientnet_lite0	24.396	75.604	42.485	57.515	4.65	224	0.875	bicubic	-50.436	-49.689	+25
221	resnetv2_50x1_bitm	24.227	75.773	43.477	56.523	25.55	480	1.000	bilinear	-55.965	-52.153	-118
222	tv_resnet50	24.078	75.922	41.329	58.671	25.56	224	0.875	bilinear	-52.080	-51.549	+5
223	legacy_seresnet34	24.033	75.967	41.905	58.095	21.96	224	0.875	bilinear	-50.757	-50.221	+23
224	resnet18d	23.927	76.073	42.302	57.698	11.71	224	0.875	bicubic	-48.347	-48.386	+38
225	efficientnet_lite0	23.919	76.081	42.105	57.895	4.65	224	0.875	bicubic	-51.583	-50.409	+11
226	tf_efficientnet_es	23.830	76.170	41.325	58.675	5.44	224	0.875	bicubic	-53.454	-52.279	-19
227	tv_densenet121	23.824	76.176	41.925	58.075	7.98	224	0.875	bicubic	-50.918	-50.229	+20
228	mobilenetv2_140	23.701	76.299	41.492	58.508	6.11	224	0.875	bicubic	-52.811	-51.506	-5
229	dla34	23.701	76.299	41.547	58.453	15.74	224	0.875	bilinear	-50.923	-50.515	+21
230	mixnet_m	23.697	76.303	41.160	58.840	5.01	224	0.875	bicubic	-53.577	-52.262	-21
231	legacy_seresnet50	23.648	76.353	40.103	59.897	28.09	224	0.875	bilinear	-53.989	-53.641	-36
232	ese_vovnet19b_dw	23.543	76.457	41.282	58.718	6.54	224	0.875	bicubic	-53.275	-51.996	-13
233	tf_mixnet_m	23.504	76.496	40.993	59.007	5.01	224	0.875	bicubic	-53.452	-52.171	-18
234	tv_resnet34	23.496	76.504	41.406	58.594	21.80	224	0.875	bilinear	-49.808	-50.018	+21
235	selecsls42b	23.394	76.606	40.665	59.335	32.46	224	0.875	bicubic	-53.790	-52.723	-25
236	mobilenetv2_110d	23.072	76.928	40.738	59.262	4.52	224	0.875	bicubic	-51.976	-51.452	+8
237	mobilenetv3_large_100	22.653	77.347	40.787	59.213	5.48	224	0.875	bicubic	-53.121	-51.751	-7
238	mobilenetv3_rw	22.632	77.368	40.408	59.592	5.48	224	0.875	bicubic	-52.988	-52.304	-6
239	tf_mobilenetv3_large_100	22.567	77.433	39.751	60.249	5.48	224	0.875	bilinear	-52.943	-52.859	-4
240	hrnet_w18_small_v2	22.355	77.645	39.897	60.103	15.60	224	0.875	bilinear	-52.754	-52.515	+1
241	regnety_008	22.117	77.883	38.926	61.074	6.26	224	0.875	bicubic	-54.203	-54.142	-16
242	seresnext26t_32x4d	22.017	77.984	38.588	61.412	16.82	224	0.875	bicubic	-55.971	-55.144	-55
243	seresnext26tn_32x4d	22.007	77.993	38.505	61.495	16.81	224	0.875	bicubic	-55.979	-55.239	-55
244	regnety_006	21.975	78.025	38.961	61.039	6.06	224	0.875	bicubic	-53.293	-53.569	-5
245	regnetx_008	21.960	78.040	38.934	61.066	7.26	224	0.875	bicubic	-53.092	-53.408	-2
246	resnet26d	21.932	78.068	38.641	61.359	16.01	224	0.875	bicubic	-54.756	-54.505	-25
247	semnasnet_100	21.907	78.094	38.604	61.396	3.89	224	0.875	bicubic	-53.545	-54.006	-10
248	regnetx_006	21.738	78.263	38.928	61.072	6.20	224	0.875	bicubic	-52.106	-52.750	+5
249	gluon_resnet18_v1b	21.549	78.451	38.881	61.119	11.69	224	0.875	bicubic	-49.289	-50.877	+16
250	fbnetc_100	21.504	78.496	38.150	61.850	5.57	224	0.875	bilinear	-53.612	-54.224	-10
251	mnasnet_100	21.360	78.640	37.723	62.277	4.38	224	0.875	bicubic	-53.310	-54.379	-3
252	resnet26	21.295	78.705	38.036	61.964	16.00	224	0.875	bicubic	-53.995	-54.530	-14
253	ssl_resnet18	21.293	78.707	39.138	60.862	11.69	224	0.875	bilinear	-51.323	-52.278	+6
254	seresnext26d_32x4d	21.290	78.710	37.326	62.674	16.81	224	0.875	bicubic	-56.296	-56.282	-57
255	mixnet_s	21.272	78.728	38.207	61.793	4.13	224	0.875	bicubic	-54.722	-54.583	-27
256	legacy_seresnext26_32x4d	21.075	78.925	37.633	62.367	16.79	224	0.875	bicubic	-56.031	-55.675	-44
257	regnetx_004	20.908	79.092	37.566	62.434	5.16	224	0.875	bicubic	-51.486	-53.252	+3
258	spnasnet_100	20.851	79.149	37.910	62.090	4.42	224	0.875	bilinear	-53.229	-53.910	-7
259	legacy_seresnet18	20.800	79.200	37.621	62.379	11.78	224	0.875	bicubic	-50.936	-52.721	+5
260	mobilenetv2_100	20.777	79.223	37.788	62.212	3.50	224	0.875	bicubic	-52.173	-53.214	-2
261	tf_mixnet_s	20.470	79.530	36.641	63.359	4.13	224	0.875	bicubic	-55.212	-55.997	-30
262	regnety_004	20.429	79.571	37.032	62.968	4.34	224	0.875	bicubic	-53.589	-54.732	-10
263	hrnet_w18_small	20.370	79.630	37.093	62.907	13.19	224	0.875	bilinear	-51.966	-53.591	-2
264	tf_mobilenetv3_large_075	20.362	79.638	36.768	63.232	3.99	224	0.875	bilinear	-53.086	-54.574	-10
265	resnet18	20.234	79.766	37.265	62.735	11.69	224	0.875	bilinear	-49.508	-51.821	+2
266	tf_mobilenetv3_large_minimal_100	20.122	79.878	36.902	63.098	3.92	224	0.875	bilinear	-52.122	-53.734	-3
267	regnety_002	17.448	82.552	32.437	67.563	3.16	224	0.875	bicubic	-52.830	-57.109	-1
268	regnetx_002	16.964	83.036	32.233	67.767	2.68	224	0.875	bicubic	-51.790	-56.327	0
269	dla60x_c	16.322	83.678	31.775	68.225	1.32	224	0.875	bilinear	-51.590	-56.643	+1
270	tf_mobilenetv3_small_100	16.224	83.776	31.237	68.763	2.54	224	0.875	bilinear	-51.698	-56.439	-1
271	tf_mobilenetv3_small_075	14.940	85.060	29.594	70.406	2.04	224	0.875	bilinear	-50.784	-56.540	+1
272	dla46_c	14.675	85.325	29.372	70.628	1.30	224	0.875	bilinear	-50.195	-56.922	+1
273	dla46x_c	14.384	85.616	29.193	70.807	1.07	224	0.875	bilinear	-51.592	-57.795	-2
274	tf_mobilenetv3_small_minimal_100	13.985	86.015	27.992	72.008	2.04	224	0.875	bilinear	-48.925	-56.252	0
275	inception_v4	1.401	98.599	9.012	90.988	42.68	299	0.875	bicubic	+0.393	-7.842	0
276	inception_resnet_v2	1.358	98.642	9.460	90.540	55.85	299	0.897	bicubic	+0.408	-7.834	+2
277	ens_adv_inception_resnet_v2	1.342	98.658	9.768	90.232	55.85	299	0.897	bicubic	+0.344	-7.556	-1
278	pnasnet5large	1.340	98.660	10.216	89.784	86.06	331	0.911	bicubic	+0.356	-8.360	-1