pytorch-image-models/results/results-imagenetv2-matched-frequency.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_475	80.460	19.540	95.730	4.270	480.31	475	0.936	bicubic	-7.774	-2.816	+1
3	tf_efficientnet_l2_ns	80.250	19.750	95.840	4.160	480.31	800	0.960	bicubic	-8.102	-2.810	-1
4	tf_efficientnet_b7_ns	78.510	21.490	94.380	5.620	66.35	600	0.949	bicubic	-8.330	-3.714	0
5	tf_efficientnet_b6_ns	77.280	22.720	93.890	6.110	43.04	528	0.942	bicubic	-9.172	-3.992	0
6	ig_resnext101_32x48d	76.870	23.130	93.310	6.690	828.41	224	0.875	bilinear	-8.558	-4.262	+1
7	ig_resnext101_32x32d	76.840	23.160	93.200	6.800	468.53	224	0.875	bilinear	-8.254	-4.238	+5
8	tf_efficientnet_b5_ns	76.810	23.190	93.580	6.420	30.39	456	0.934	bicubic	-9.278	-4.172	-2
9	tf_efficientnet_b7_ap	76.090	23.910	92.970	7.030	66.35	600	0.949	bicubic	-9.030	-4.282	+2
10	tf_efficientnet_b8_ap	76.090	23.910	92.730	7.270	87.41	672	0.954	bicubic	-9.280	-4.564	-1
11	ig_resnext101_32x16d	75.720	24.280	92.910	7.090	194.03	224	0.875	bilinear	-8.450	-4.286	+7
12	tf_efficientnet_b4_ns	75.670	24.330	93.050	6.950	19.34	380	0.922	bicubic	-9.492	-4.420	-2
13	swsl_resnext101_32x8d	75.430	24.570	92.760	7.240	88.79	224	0.875	bilinear	-8.854	-4.416	+3
14	tf_efficientnet_b6_ap	75.380	24.620	92.440	7.560	43.04	528	0.942	bicubic	-9.408	-4.698	0
15	tf_efficientnet_b8	74.940	25.060	92.310	7.690	87.41	672	0.954	bicubic	-10.430	-5.080	-7
16	tf_efficientnet_b7	74.720	25.280	92.220	7.780	66.35	600	0.949	bicubic	-10.216	-4.984	-3
17	tf_efficientnet_b5_ap	74.600	25.400	91.990	8.010	30.39	456	0.934	bicubic	-9.652	-4.984	0
18	resnest200e	74.480	25.520	91.860	8.140	70.20	320	0.909	bicubic	-9.352	-5.034	+3
19	resnest269e	74.170	25.830	91.950	8.050	110.93	416	0.928	bicubic	-10.348	-5.036	-4
20	swsl_resnext101_32x4d	74.140	25.860	91.990	8.010	44.18	224	0.875	bilinear	-9.090	-4.770	+5
21	swsl_resnext101_32x16d	74.020	25.980	92.160	7.840	194.03	224	0.875	bilinear	-9.326	-4.686	+2
22	tf_efficientnet_b6	73.900	26.100	91.750	8.250	43.04	528	0.942	bicubic	-10.210	-5.136	-3
23	tf_efficientnet_b3_ns	73.890	26.110	91.870	8.130	12.23	300	0.904	bicubic	-10.158	-5.040	-3
24	ig_resnext101_32x8d	73.650	26.350	92.190	7.810	88.79	224	0.875	bilinear	-9.038	-4.446	+6
25	tf_efficientnet_b5	73.550	26.450	91.460	8.540	30.39	456	0.934	bicubic	-10.262	-5.288	-3
26	tf_efficientnet_b4_ap	72.890	27.110	90.980	9.020	19.34	380	0.922	bicubic	-10.358	-5.412	-2
27	pnasnet5large	72.610	27.390	90.510	9.490	86.06	331	0.911	bicubic	-10.172	-5.530	+2
28	resnest101e	72.570	27.430	90.820	9.180	48.28	256	0.875	bilinear	-10.320	-5.500	0
29	swsl_resnext50_32x4d	72.560	27.440	90.870	9.130	25.03	224	0.875	bilinear	-9.622	-5.360	+5
30	tresnet_xl_448	72.550	27.450	90.310	9.690	78.44	448	0.875	bilinear	-10.500	-5.864	-4
31	tf_efficientnet_b4	72.290	27.710	90.590	9.410	19.34	380	0.922	bicubic	-10.732	-5.710	-4
32	tf_efficientnet_b2_ns	72.280	27.720	91.090	8.910	9.11	260	0.890	bicubic	-10.100	-5.158	0
33	nasnetalarge	72.230	27.770	90.470	9.530	88.75	331	0.911	bicubic	-10.390	-5.576	-2
34	swsl_resnet50	71.700	28.300	90.500	9.500	25.56	224	0.875	bilinear	-9.466	-5.472	+15
35	tresnet_xl	71.660	28.340	89.630	10.370	78.44	224	0.875	bilinear	-10.394	-6.306	+1
36	tresnet_l_448	71.600	28.400	90.050	9.950	55.99	448	0.875	bilinear	-10.668	-5.926	-3
37	ssl_resnext101_32x8d	71.500	28.500	90.460	9.540	88.79	224	0.875	bilinear	-10.116	-5.578	+6
38	ecaresnet101d	71.490	28.510	90.330	9.670	44.57	224	0.875	bicubic	-10.682	-5.716	-3
39	ssl_resnext101_32x16d	71.410	28.590	90.560	9.440	194.03	224	0.875	bilinear	-10.434	-5.536	-1
40	tresnet_m_448	70.990	29.010	88.680	11.320	31.39	448	0.875	bilinear	-10.724	-6.892	0
41	resnest50d_4s2x40d	70.950	29.050	89.710	10.290	30.42	224	0.875	bicubic	-10.158	-5.848	+9
42	tf_efficientnet_b3_ap	70.920	29.080	89.430	10.570	12.23	300	0.904	bicubic	-10.902	-6.194	-3
43	efficientnet_b3a	70.870	29.130	89.720	10.280	12.23	320	1.000	bicubic	-10.996	-6.116	-6
44	tf_efficientnet_b1_ns	70.870	29.130	90.120	9.880	7.79	240	0.882	bicubic	-10.518	-5.618	+3
45	rexnet_200	70.840	29.160	89.700	10.300	16.37	224	0.875	bicubic	-10.792	-5.968	-3
46	tresnet_l	70.840	29.160	89.630	10.370	55.99	224	0.875	bilinear	-10.648	-5.994	0
47	efficientnet_b3	70.760	29.240	89.850	10.150	12.23	300	0.904	bicubic	-10.734	-5.866	-2
48	tf_efficientnet_b3	70.640	29.360	89.440	10.560	12.23	300	0.904	bicubic	-10.996	-6.278	-7
49	gluon_senet154	70.600	29.400	88.920	11.080	115.09	224	0.875	bicubic	-10.634	-6.428	-1
50	ssl_resnext101_32x4d	70.530	29.470	89.760	10.240	44.18	224	0.875	bilinear	-10.394	-5.968	+4
51	gluon_seresnext101_64x4d	70.430	29.570	89.350	10.650	88.23	224	0.875	bicubic	-10.464	-5.958	+5
52	tf_efficientnet_lite4	70.430	29.570	89.110	10.890	13.01	380	0.920	bilinear	-11.106	-6.558	-8
53	resnest50d	70.410	29.590	88.760	11.240	27.48	224	0.875	bilinear	-10.564	-6.618	0
54	resnest50d_1s4x24d	70.400	29.600	89.220	10.780	25.68	224	0.875	bicubic	-10.588	-6.102	-2
55	gluon_resnet152_v1s	70.290	29.710	88.850	11.150	60.32	224	0.875	bicubic	-10.726	-6.562	-4
56	ecaresnet101d_pruned	70.130	29.870	89.590	10.410	24.88	224	0.875	bicubic	-10.688	-6.038	+2
57	inception_resnet_v2	70.120	29.880	88.700	11.300	55.84	299	0.897	bicubic	-10.338	-6.606	+10
58	gluon_seresnext101_32x4d	70.010	29.990	88.900	11.100	48.96	224	0.875	bicubic	-10.894	-6.394	-3
59	regnety_320	70.000	30.000	88.890	11.110	145.05	224	0.875	bicubic	-10.812	-6.354	0
60	gluon_resnet152_v1d	69.960	30.040	88.490	11.510	60.21	224	0.875	bicubic	-10.514	-6.716	+5
61	ecaresnet50d	69.840	30.160	89.400	10.600	25.58	224	0.875	bicubic	-10.752	-5.920	+2
62	ssl_resnext50_32x4d	69.710	30.290	89.440	10.560	25.03	224	0.875	bilinear	-10.608	-5.966	+11
63	gluon_resnext101_64x4d	69.680	30.320	88.270	11.730	83.46	224	0.875	bicubic	-10.924	-6.718	-1
64	tresnet_m	69.660	30.340	87.990	12.010	31.39	224	0.875	bilinear	-11.142	-6.870	-4
65	efficientnet_b3_pruned	69.580	30.420	88.980	11.020	9.86	300	0.904	bicubic	-11.278	-6.262	-8
66	ens_adv_inception_resnet_v2	69.520	30.480	88.510	11.490	55.84	299	0.897	bicubic	-10.462	-6.426	+21
67	efficientnet_b2a	69.500	30.500	88.680	11.320	9.11	288	1.000	bicubic	-11.112	-6.638	-6
68	rexnet_150	69.470	30.530	88.980	11.020	9.73	224	0.875	bicubic	-10.840	-6.186	+6
69	regnetx_320	69.440	30.560	88.270	11.730	107.81	224	0.875	bicubic	-10.806	-6.756	+10
70	inception_v4	69.360	30.640	88.780	11.220	42.68	299	0.875	bicubic	-10.808	-6.188	+10
71	ecaresnetlight	69.340	30.660	89.220	10.780	30.16	224	0.875	bicubic	-11.122	-6.030	-5
72	xception71	69.320	30.680	88.260	11.740	42.34	299	0.903	bicubic	-10.554	-6.662	+20
73	gluon_xception65	69.160	30.840	88.090	11.910	39.92	299	0.903	bicubic	-10.556	-6.770	+26
74	gluon_resnet152_v1c	69.140	30.860	87.870	12.130	60.21	224	0.875	bicubic	-10.770	-6.970	+16
75	mixnet_xl	69.100	30.900	88.310	11.690	11.90	224	0.875	bicubic	-11.376	-6.626	-11
76	gluon_resnet101_v1d	69.010	30.990	88.100	11.900	44.57	224	0.875	bicubic	-11.404	-6.914	-7
77	xception65	68.980	31.020	88.480	11.520	39.92	299	0.903	bicubic	-10.572	-6.174	+26
78	seresnet50	68.980	31.020	88.710	11.290	28.09	224	0.875	bicubic	-11.294	-6.360	+1
79	efficientnet_b2	68.970	31.030	88.630	11.370	9.11	260	0.875	bicubic	-11.422	-6.446	-9
80	regnety_160	68.970	31.030	88.270	11.730	83.59	224	0.875	bicubic	-11.326	-6.692	-3
81	gluon_resnext101_32x4d	68.960	31.040	88.360	11.640	44.18	224	0.875	bicubic	-11.374	-6.566	-9
82	tf_efficientnet_b2_ap	68.920	31.080	88.350	11.650	9.11	260	0.890	bicubic	-11.380	-6.678	-6
83	cspdarknet53	68.890	31.110	88.600	11.400	27.64	256	0.887	bilinear	-11.168	-6.484	+1
84	regnety_120	68.850	31.150	88.330	11.670	51.82	224	0.875	bicubic	-11.516	-6.796	-13
85	gluon_resnet152_v1b	68.820	31.180	87.710	12.290	60.19	224	0.875	bicubic	-10.866	-7.026	+15
86	dpn131	68.770	31.230	87.470	12.530	79.25	224	0.875	bicubic	-11.052	-7.240	+8
87	cspresnext50	68.760	31.240	87.950	12.050	20.57	224	0.875	bilinear	-11.280	-6.994	-2
88	tf_efficientnet_b2	68.750	31.250	87.990	12.010	9.11	260	0.890	bicubic	-11.336	-6.918	-5
89	resnext50d_32x4d	68.740	31.260	88.300	11.700	25.05	224	0.875	bicubic	-10.936	-6.566	+12
90	gluon_resnet101_v1s	68.710	31.290	87.910	12.090	44.67	224	0.875	bicubic	-11.592	-7.250	-15
91	regnety_080	68.700	31.300	87.970	12.030	39.18	224	0.875	bicubic	-11.176	-6.860	0
92	dpn107	68.690	31.310	88.130	11.870	86.92	224	0.875	bicubic	-11.466	-6.780	-11
93	gluon_seresnext50_32x4d	68.670	31.330	88.310	11.690	27.56	224	0.875	bicubic	-11.248	-6.512	-5
94	hrnet_w64	68.640	31.360	88.050	11.950	128.06	224	0.875	bilinear	-10.834	-6.602	+13
95	resnext50_32x4d	68.640	31.360	87.570	12.430	25.03	224	0.875	bicubic	-11.128	-7.028	+1
96	dpn98	68.590	31.410	87.680	12.320	61.57	224	0.875	bicubic	-11.052	-6.918	+6
97	regnetx_160	68.530	31.470	88.450	11.550	54.28	224	0.875	bicubic	-11.326	-6.380	-4
98	rexnet_130	68.450	31.550	88.040	11.960	7.56	224	0.875	bicubic	-11.050	-6.642	+8
99	ecaresnet50d_pruned	68.420	31.580	88.370	11.630	19.94	224	0.875	bicubic	-11.296	-6.510	-1
100	regnety_064	68.420	31.580	88.080	11.920	30.58	224	0.875	bicubic	-11.302	-6.688	-3
101	ssl_resnet50	68.410	31.590	88.560	11.440	25.56	224	0.875	bilinear	-10.812	-6.272	+16
102	skresnext50_32x4d	68.350	31.650	87.570	12.430	27.48	224	0.875	bicubic	-11.806	-7.072	-20
103	dla102x2	68.330	31.670	87.890	12.110	41.28	224	0.875	bilinear	-11.118	-6.750	+5
104	efficientnet_b2_pruned	68.320	31.680	88.100	11.900	8.31	260	0.890	bicubic	-11.596	-6.756	-15
105	gluon_resnext50_32x4d	68.310	31.690	87.300	12.700	25.03	224	0.875	bicubic	-11.044	-7.126	+4
106	tf_efficientnet_lite3	68.230	31.770	87.740	12.260	8.20	300	0.904	bilinear	-11.590	-7.174	-11
107	ese_vovnet39b	68.210	31.790	88.240	11.760	24.57	224	0.875	bicubic	-11.110	-6.472	+3
108	tf_efficientnet_el	68.180	31.820	88.350	11.650	10.59	300	0.904	bicubic	-12.260	-6.814	-40
109	regnetx_120	68.150	31.850	87.660	12.340	46.11	224	0.875	bicubic	-11.446	-7.078	-6
110	dpn92	67.990	32.010	87.580	12.420	37.67	224	0.875	bicubic	-12.018	-7.256	-24
111	gluon_resnet50_v1d	67.940	32.060	87.130	12.870	25.58	224	0.875	bicubic	-11.134	-7.340	+12
112	regnetx_080	67.880	32.120	86.990	13.010	39.57	224	0.875	bicubic	-11.314	-7.570	+10
113	resnext101_32x8d	67.860	32.140	87.490	12.510	88.79	224	0.875	bilinear	-11.448	-7.028	-2
114	hrnet_w48	67.770	32.230	87.420	12.580	77.47	224	0.875	bilinear	-11.530	-7.092	0
115	hrnet_w44	67.740	32.260	87.560	12.440	67.06	224	0.875	bilinear	-11.156	-6.808	+14
116	tf_efficientnet_b0_ns	67.710	32.290	88.070	11.930	5.29	224	0.875	bicubic	-10.948	-6.306	+23
117	regnetx_064	67.680	32.320	87.520	12.480	26.21	224	0.875	bicubic	-11.392	-6.938	+7
118	xception	67.650	32.350	87.570	12.430	22.86	299	0.897	bicubic	-11.402	-6.822	+7
119	dpn68b	67.630	32.370	87.660	12.340	12.61	224	0.875	bicubic	-11.586	-6.754	0
120	dla169	67.610	32.390	87.590	12.410	53.39	224	0.875	bilinear	-11.078	-6.746	+18
121	gluon_inception_v3	67.590	32.410	87.470	12.530	23.83	299	0.875	bicubic	-11.216	-6.900	+12
122	regnety_040	67.580	32.420	87.510	12.490	20.65	224	0.875	bicubic	-11.640	-7.146	-5
123	gluon_resnet101_v1c	67.580	32.420	87.180	12.820	44.57	224	0.875	bicubic	-11.954	-7.398	-17
124	res2net50_26w_8s	67.570	32.430	87.280	12.720	48.40	224	0.875	bilinear	-11.628	-7.088	-4
125	hrnet_w40	67.560	32.440	87.140	12.860	57.56	224	0.875	bilinear	-11.360	-7.330	+3
126	tf_efficientnet_b1_ap	67.520	32.480	87.760	12.240	7.79	240	0.882	bicubic	-11.760	-6.546	-10
127	gluon_resnet101_v1b	67.460	32.540	87.240	12.760	44.55	224	0.875	bicubic	-11.846	-7.284	-14
128	tf_efficientnet_cc_b1_8e	67.450	32.550	87.310	12.690	39.72	240	0.882	bicubic	-11.858	-7.060	-16
129	res2net101_26w_4s	67.440	32.560	87.010	12.990	45.21	224	0.875	bilinear	-11.758	-7.422	-8
130	resnet50	67.440	32.560	87.420	12.580	25.56	224	0.875	bicubic	-11.598	-6.970	-4
131	resnetblur50	67.430	32.570	87.440	12.560	25.56	224	0.875	bicubic	-11.856	-7.198	-16
132	regnety_032	67.400	32.600	87.270	12.730	19.44	224	0.875	bicubic	-11.486	-7.142	-2
133	regnetx_032	67.290	32.710	87.000	13.000	15.30	224	0.875	bicubic	-10.882	-7.088	+22
134	xception41	67.250	32.750	87.200	12.800	26.97	299	0.903	bicubic	-11.266	-7.078	+7
135	resnest26d	67.200	32.800	87.170	12.830	17.07	224	0.875	bilinear	-11.278	-7.128	+9
136	efficientnet_b1	67.170	32.830	87.150	12.850	7.79	240	0.875	bicubic	-11.528	-6.994	+1
137	dla60x	67.100	32.900	87.190	12.810	17.35	224	0.875	bilinear	-11.146	-6.828	+14
138	gluon_resnet50_v1s	67.060	32.940	86.860	13.140	25.68	224	0.875	bicubic	-11.652	-7.378	-3
139	resnet152	67.050	32.950	87.550	12.450	60.19	224	0.875	bilinear	-11.262	-6.488	+11
140	dla60_res2net	67.020	32.980	87.160	12.840	20.85	224	0.875	bilinear	-11.444	-7.046	+6
141	dla102x	67.010	32.990	86.770	13.230	26.31	224	0.875	bilinear	-11.500	-7.458	+1
142	mixnet_l	66.940	33.060	86.910	13.090	7.33	224	0.875	bicubic	-12.036	-7.272	-15
143	res2net50_26w_6s	66.910	33.090	86.860	13.140	37.05	224	0.875	bilinear	-11.660	-7.264	-3
144	efficientnet_es	66.880	33.120	86.730	13.270	5.44	224	0.875	bicubic	-11.186	-7.196	+13
145	tf_efficientnet_b1	66.880	33.120	87.010	12.990	7.79	240	0.882	bicubic	-11.946	-7.188	-13
146	tf_efficientnet_em	66.880	33.120	86.970	13.030	6.90	240	0.882	bicubic	-11.828	-7.344	-10
147	regnetx_040	66.840	33.160	86.730	13.270	22.12	224	0.875	bicubic	-11.642	-7.514	-4
148	hrnet_w30	66.780	33.220	86.800	13.200	37.71	224	0.875	bilinear	-11.426	-7.422	+6
149	tf_mixnet_l	66.780	33.220	86.470	13.530	7.33	224	0.875	bicubic	-11.994	-7.528	-15
150	selecsls60b	66.760	33.240	86.530	13.470	32.77	224	0.875	bicubic	-11.652	-7.644	-1
151	hrnet_w32	66.750	33.250	87.300	12.700	41.23	224	0.875	bilinear	-11.700	-6.886	-4
152	wide_resnet101_2	66.730	33.270	87.030	12.970	126.89	224	0.875	bilinear	-12.126	-7.252	-21
153	wide_resnet50_2	66.650	33.350	86.800	13.200	68.88	224	0.875	bilinear	-11.828	-7.294	-9
154	adv_inception_v3	66.650	33.350	86.540	13.460	23.83	299	0.875	bicubic	-10.932	-7.196	+18
155	dla60_res2next	66.640	33.360	87.030	12.970	17.03	224	0.875	bilinear	-11.800	-7.122	-7
156	gluon_resnet50_v1c	66.560	33.440	86.180	13.820	25.58	224	0.875	bicubic	-11.452	-7.808	+3
157	dla102	66.540	33.460	86.910	13.090	33.27	224	0.875	bilinear	-11.492	-7.036	+1
158	tf_inception_v3	66.410	33.590	86.660	13.340	23.83	299	0.875	bicubic	-11.448	-6.978	+9
159	efficientnet_b0	66.290	33.710	85.960	14.040	5.29	224	0.875	bicubic	-11.408	-7.572	+9
160	selecsls60	66.210	33.790	86.340	13.660	30.67	224	0.875	bicubic	-11.772	-7.488	+2
161	tv_resnext50_32x4d	66.180	33.820	86.040	13.960	25.03	224	0.875	bilinear	-11.440	-7.656	+8
162	tf_efficientnet_cc_b0_8e	66.170	33.830	86.240	13.760	24.01	224	0.875	bicubic	-11.738	-7.414	+2
163	inception_v3	66.160	33.840	86.320	13.680	23.83	299	0.875	bicubic	-11.280	-7.156	+12
164	res2net50_26w_4s	66.140	33.860	86.600	13.400	25.70	224	0.875	bilinear	-11.824	-7.254	-1
165	efficientnet_b1_pruned	66.090	33.910	86.570	13.430	6.33	240	0.882	bicubic	-12.146	-7.264	-12
166	gluon_resnet50_v1b	66.070	33.930	86.260	13.740	25.56	224	0.875	bicubic	-11.510	-7.456	+6
167	rexnet_100	66.070	33.930	86.490	13.510	4.80	224	0.875	bicubic	-11.788	-7.380	-1
168	regnety_016	66.060	33.940	86.380	13.620	11.20	224	0.875	bicubic	-11.802	-7.340	-3
169	res2net50_14w_8s	66.020	33.980	86.250	13.750	25.06	224	0.875	bilinear	-12.130	-7.598	-13
170	seresnext26tn_32x4d	65.880	34.120	85.680	14.320	16.81	224	0.875	bicubic	-12.106	-8.066	-9
171	res2next50	65.850	34.150	85.840	14.160	24.67	224	0.875	bilinear	-12.396	-8.052	-19
172	densenet161	65.840	34.160	86.450	13.550	28.68	224	0.875	bicubic	-11.518	-7.188	+5
173	skresnet34	65.750	34.250	85.960	14.040	22.28	224	0.875	bicubic	-11.162	-7.362	+15
174	resnet101	65.690	34.310	85.980	14.020	44.55	224	0.875	bilinear	-11.684	-7.560	+2
175	selecsls42b	65.610	34.390	85.810	14.190	32.46	224	0.875	bicubic	-11.564	-7.580	+8
176	seresnext26t_32x4d	65.600	34.400	86.080	13.920	16.82	224	0.875	bicubic	-12.398	-7.628	-16
177	tf_efficientnet_b0_ap	65.490	34.510	85.580	14.420	5.29	224	0.875	bicubic	-11.596	-7.676	+7
178	seresnext26d_32x4d	65.410	34.590	85.970	14.030	16.81	224	0.875	bicubic	-12.192	-7.638	-8
179	tf_efficientnet_lite2	65.380	34.620	85.990	14.010	6.09	260	0.890	bicubic	-12.088	-7.764	-5
180	res2net50_48w_2s	65.350	34.650	85.960	14.040	25.29	224	0.875	bilinear	-12.172	-7.594	-7
181	densenet201	65.290	34.710	85.690	14.310	20.01	224	0.875	bicubic	-11.996	-7.788	-2
182	densenetblur121d	65.280	34.720	85.710	14.290	8.00	224	0.875	bicubic	-11.308	-7.482	+12
183	tf_efficientnet_es	65.220	34.780	85.550	14.450	5.44	224	0.875	bicubic	-12.038	-8.044	-1
184	dla60	65.200	34.800	85.760	14.240	22.04	224	0.875	bilinear	-11.832	-7.558	+1
185	ese_vovnet19b_dw	65.190	34.810	85.470	14.530	6.54	224	0.875	bicubic	-11.608	-7.798	+5
186	tf_efficientnet_cc_b0_4e	65.150	34.850	85.160	14.840	13.31	224	0.875	bicubic	-12.156	-8.174	-8
187	mobilenetv2_120d	65.030	34.970	85.960	14.040	5.83	224	0.875	bicubic	-12.254	-7.532	-7
188	hrnet_w18	64.920	35.080	85.740	14.260	21.30	224	0.875	bilinear	-11.838	-7.704	+3
189	densenet169	64.760	35.240	85.240	14.760	14.15	224	0.875	bicubic	-11.146	-7.786	+11
190	mixnet_m	64.700	35.300	85.450	14.550	5.01	224	0.875	bicubic	-12.560	-7.974	-9
191	resnet26d	64.680	35.320	85.120	14.880	16.01	224	0.875	bicubic	-12.016	-8.030	+1
192	regnetx_016	64.380	35.620	85.470	14.530	9.19	224	0.875	bicubic	-12.570	-7.950	-6
193	tf_efficientnet_lite1	64.380	35.620	85.470	14.530	5.42	240	0.882	bicubic	-12.262	-7.756	0
194	tf_efficientnet_b0	64.310	35.690	85.280	14.720	5.29	224	0.875	bicubic	-12.538	-7.948	-5
195	tf_mixnet_m	64.270	35.730	85.090	14.910	5.01	224	0.875	bicubic	-12.672	-8.062	-8
196	dpn68	64.230	35.770	85.180	14.820	12.61	224	0.875	bicubic	-12.088	-7.798	0
197	regnety_008	64.160	35.840	85.270	14.730	6.26	224	0.875	bicubic	-12.156	-7.796	0
198	mobilenetv2_140	64.060	35.940	85.040	14.960	6.11	224	0.875	bicubic	-12.456	-7.956	-3
199	densenet121	63.750	36.250	84.590	15.410	7.98	224	0.875	bicubic	-11.828	-8.062	+5
200	resnest14d	63.590	36.410	84.250	15.750	10.61	224	0.875	bilinear	-11.916	-8.268	+6
201	tf_mixnet_s	63.560	36.440	84.270	15.730	4.13	224	0.875	bicubic	-12.090	-8.358	+1
202	resnet26	63.470	36.530	84.260	15.740	16.00	224	0.875	bicubic	-11.822	-8.310	+7
203	mixnet_s	63.390	36.610	84.740	15.260	4.13	224	0.875	bicubic	-12.602	-8.056	-4
204	mobilenetv3_large_100	63.360	36.640	84.090	15.910	5.48	224	0.875	bicubic	-12.406	-8.452	-3
205	tv_resnet50	63.330	36.670	84.640	15.360	25.56	224	0.875	bilinear	-12.808	-8.224	-7
206	efficientnet_lite0	63.240	36.760	84.440	15.560	4.65	224	0.875	bicubic	-12.244	-8.070	+1
207	mobilenetv3_rw	63.220	36.780	84.510	15.490	5.48	224	0.875	bicubic	-12.414	-8.198	-4
208	semnasnet_100	63.150	36.850	84.520	15.480	3.89	224	0.875	bicubic	-12.298	-8.084	0
209	regnety_006	63.110	36.890	84.250	15.750	6.06	224	0.875	bicubic	-12.136	-8.282	+1
210	tv_densenet121	62.940	37.060	84.250	15.750	7.98	224	0.875	bicubic	-11.798	-7.900	+7
211	resnet34	62.870	37.130	84.140	15.860	21.80	224	0.875	bilinear	-12.240	-8.144	+2
212	mobilenetv2_110d	62.830	37.170	84.500	15.500	4.52	224	0.875	bicubic	-12.206	-7.686	+3
213	hrnet_w18_small_v2	62.800	37.200	83.980	16.020	15.60	224	0.875	bilinear	-12.314	-8.436	-1
214	swsl_resnet18	62.760	37.240	84.300	15.700	11.69	224	0.875	bilinear	-10.516	-7.434	+12
215	gluon_resnet34_v1b	62.570	37.430	83.990	16.010	21.80	224	0.875	bicubic	-12.018	-8.000	+5
216	tf_efficientnet_lite0	62.550	37.450	84.220	15.780	4.65	224	0.875	bicubic	-12.280	-7.956	0
217	regnetx_008	62.490	37.510	84.020	15.980	7.26	224	0.875	bicubic	-12.548	-8.316	-3
218	dla34	62.480	37.520	83.910	16.090	15.74	224	0.875	bilinear	-12.150	-8.168	+1
219	tf_mobilenetv3_large_100	62.460	37.540	83.970	16.030	5.48	224	0.875	bilinear	-13.058	-8.636	-14
220	fbnetc_100	62.440	37.560	83.380	16.620	5.57	224	0.875	bilinear	-12.684	-9.006	-9
221	mnasnet_100	61.900	38.100	83.710	16.290	4.38	224	0.875	bicubic	-12.758	-8.404	-3
222	regnety_004	61.870	38.130	83.430	16.570	4.34	224	0.875	bicubic	-12.164	-8.322	0
223	ssl_resnet18	61.480	38.520	83.300	16.700	11.69	224	0.875	bilinear	-11.130	-8.116	+6
224	regnetx_006	61.350	38.650	83.450	16.550	6.20	224	0.875	bicubic	-12.502	-8.222	-1
225	spnasnet_100	61.220	38.780	82.790	17.210	4.42	224	0.875	bilinear	-12.864	-9.028	-4
226	tv_resnet34	61.190	38.810	82.710	17.290	21.80	224	0.875	bilinear	-12.122	-8.716	-1
227	skresnet18	60.860	39.140	82.880	17.120	11.96	224	0.875	bicubic	-12.178	-8.288	0
228	tf_mobilenetv3_large_075	60.400	39.600	81.950	18.050	3.99	224	0.875	bilinear	-13.038	-9.400	-4
229	mobilenetv2_100	60.190	39.810	82.240	17.760	3.50	224	0.875	bicubic	-12.780	-8.776	-1
230	regnetx_004	59.410	40.590	81.690	18.310	5.16	224	0.875	bicubic	-12.986	-9.140	0
231	tf_mobilenetv3_large_minimal_100	59.070	40.930	81.150	18.850	3.92	224	0.875	bilinear	-13.178	-9.480	+1
232	hrnet_w18_small	58.950	41.050	81.340	18.660	13.19	224	0.875	bilinear	-13.392	-9.338	-1
233	gluon_resnet18_v1b	58.340	41.660	80.970	19.030	11.69	224	0.875	bicubic	-12.496	-8.792	0
234	resnet18	57.170	42.830	80.200	19.800	11.69	224	0.875	bilinear	-12.578	-8.878	+1
235	regnety_002	57.000	43.000	79.840	20.160	3.16	224	0.875	bicubic	-13.252	-9.700	-1
236	regnetx_002	56.050	43.950	79.210	20.790	2.68	224	0.875	bicubic	-12.712	-9.346	0
237	dla60x_c	56.000	44.000	78.930	21.070	1.32	224	0.875	bilinear	-11.892	-9.496	+1
238	tf_mobilenetv3_small_100	54.530	45.470	77.060	22.940	2.54	224	0.875	bilinear	-13.392	-10.604	-1
239	dla46x_c	53.050	46.950	76.870	23.130	1.07	224	0.875	bilinear	-12.920	-10.110	0
240	tf_mobilenetv3_small_075	52.160	47.840	75.470	24.530	2.04	224	0.875	bilinear	-13.556	-10.660	0
241	dla46_c	52.130	47.870	75.690	24.310	1.30	224	0.875	bilinear	-12.736	-10.602	0
242	tf_mobilenetv3_small_minimal_100	49.500	50.500	73.050	26.950	2.04	224	0.875	bilinear	-13.406	-11.180	0