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	80.500	19.500	95.630	4.370	480.31	475	0.936	bicubic	-3.240	-1.140	-1
3	tf_efficientnet_l2_ns	80.100	19.900	95.860	4.140	480.31	800	0.960	bicubic	-4.264	-1.180	-3
4	tf_efficientnet_b7_ns	77.850	22.150	94.310	5.690	66.35	600	0.949	bicubic	-10.500	-4.346	-2
5	tf_efficientnet_b6_ns	77.050	22.950	93.780	6.220	43.04	528	0.942	bicubic	-11.190	-4.770	-2
6	ig_resnext101_32x48d	76.770	23.230	93.420	6.580	828.41	224	0.875	bilinear	-9.678	-4.460	-1
7	ig_resnext101_32x32d	76.730	23.270	93.190	6.810	468.53	224	0.875	bilinear	-8.420	-4.280	+4
8	tf_efficientnet_b5_ns	76.700	23.300	93.510	6.490	30.39	456	0.934	bicubic	-10.128	-4.574	-4
9	tf_efficientnet_b7_ap	75.990	24.010	92.920	7.080	66.35	600	0.949	bicubic	-9.176	-4.442	+1
10	tf_efficientnet_b8_ap	75.960	24.040	92.650	7.350	87.41	672	0.954	bicubic	-10.118	-5.102	-4
11	ig_resnext101_32x16d	75.690	24.310	92.930	7.070	194.03	224	0.875	bilinear	-8.512	-4.288	+12
12	tf_efficientnet_b4_ns	75.500	24.500	92.860	7.140	19.34	380	0.922	bicubic	-9.850	-4.530	-3
13	swsl_resnext101_32x8d	75.480	24.520	92.690	7.310	88.79	224	0.875	bilinear	-8.902	-4.676	+7
14	vit_base_resnet50_384	75.400	24.600	92.750	7.250	98.95	384	1.000	bicubic	-9.720	-4.500	-2
15	tf_efficientnet_b6_ap	75.370	24.630	92.300	7.700	43.04	528	0.942	bicubic	-9.578	-5.150	0
16	vit_large_patch16_384	74.780	25.220	92.580	7.420	304.72	384	1.000	bicubic	-10.594	-4.718	-8
17	tf_efficientnet_b8	74.540	25.460	92.180	7.820	87.41	672	0.954	bicubic	-10.884	-5.398	-10
18	tf_efficientnet_b7	74.450	25.550	92.120	7.880	66.35	600	0.949	bicubic	-10.536	-5.176	-4
19	tf_efficientnet_b5_ap	74.340	25.660	91.940	8.060	30.39	456	0.934	bicubic	-9.930	-5.230	+2
20	resnest200e	74.230	25.770	91.860	8.140	70.20	320	0.909	bicubic	-9.738	-4.958	+7
21	seresnet152d_320	74.110	25.890	91.920	8.080	66.84	320	1.000	bicubic	-10.294	-5.514	+19
22	swsl_resnext101_32x4d	73.980	26.020	91.970	8.030	44.18	224	0.875	bilinear	-9.242	-4.798	+14
23	resnest269e	73.910	26.090	91.990	8.010	110.93	416	0.928	bicubic	-11.024	-5.214	-6
24	tf_efficientnet_b6	73.910	26.090	91.730	8.270	43.04	528	0.942	bicubic	-10.254	-5.464	+1
25	tf_efficientnet_b3_ns	73.770	26.230	91.850	8.150	12.23	300	0.904	bicubic	-10.344	-5.038	+1
26	vit_base_patch16_384	73.710	26.290	92.080	7.920	86.86	384	1.000	bicubic	-10.544	-4.894	-3
27	ig_resnext101_32x8d	73.690	26.310	92.190	7.810	88.79	224	0.875	bilinear	-9.006	-4.454	+16
28	swsl_resnext101_32x16d	73.680	26.320	92.140	7.860	194.03	224	0.875	bilinear	-9.664	-4.700	+5
29	seresnet152d	73.330	26.670	91.500	8.500	66.84	256	0.940	bicubic	-10.422	-5.620	+29
30	resnet200d_320	73.320	26.680	91.470	8.530	64.69	320	1.000	bicubic	-10.724	-5.440	-2
31	tf_efficientnet_b5	73.290	26.710	91.370	8.630	30.39	456	0.934	bicubic	-10.562	-5.520	-1
32	resnet152d_320	73.270	26.730	91.210	8.790	60.21	320	1.000	bicubic	-10.396	-5.524	+1
33	resnetv2_152x4_bitm	73.120	26.880	91.790	8.210	936.53	480	1.000	bilinear	-11.970	-5.650	-18
34	resnetv2_152x2_bitm	72.820	27.180	92.040	7.960	236.34	480	1.000	bilinear	-11.966	-5.098	-15
35	resnet200d	72.780	27.220	90.930	9.070	64.69	256	0.940	bicubic	-10.462	-5.558	+1
36	tf_efficientnet_b4_ap	72.740	27.260	90.990	9.010	19.34	380	0.922	bicubic	-10.516	-5.404	-1
37	resnetv2_101x3_bitm	72.490	27.510	91.830	8.170	387.93	480	1.000	bilinear	-12.036	-5.156	-17
38	swsl_resnext50_32x4d	72.440	27.560	90.880	9.120	25.03	224	0.875	bilinear	-9.732	-5.352	+14
39	resnet101d_320	72.370	27.630	90.580	9.420	44.57	320	1.000	bicubic	-10.654	-5.876	+3
40	nasnetalarge	72.340	27.660	90.520	9.480	88.75	331	0.911	bicubic	-10.286	-5.530	+5
41	resnest101e	72.320	27.680	90.780	9.220	48.28	256	0.875	bilinear	-10.558	-5.534	+2
42	tf_efficientnet_b2_ns	72.320	27.680	90.990	9.010	9.11	260	0.890	bicubic	-10.072	-5.248	+4
43	resnet152d	72.310	27.690	90.710	9.290	60.21	256	0.940	bicubic	-10.824	-5.640	-5
44	tresnet_xl_448	72.170	27.830	90.130	9.870	78.44	448	0.875	bilinear	-10.886	-6.056	-4
45	tf_efficientnet_b4	72.150	27.850	90.480	9.520	19.34	380	0.922	bicubic	-10.876	-5.818	-4
46	vit_large_patch16_224	71.820	28.180	90.820	9.180	304.33	224	0.900	bicubic	-11.240	-5.624	-7
47	swsl_resnet50	71.650	28.350	90.520	9.480	25.56	224	0.875	bilinear	-9.486	-5.454	+24
48	efficientnet_b3	71.540	28.460	90.070	9.930	12.23	300	0.904	bicubic	-10.542	-5.956	+5
49	tresnet_l_448	71.500	28.500	89.950	10.050	55.99	448	0.875	bilinear	-10.760	-6.028	-1
50	resnetv2_50x3_bitm	71.480	28.520	91.360	8.640	217.32	480	1.000	bilinear	-12.328	-5.386	-19
51	tresnet_xl	71.480	28.520	89.460	10.540	78.44	224	0.875	bilinear	-10.574	-6.472	+3
52	ssl_resnext101_32x8d	71.470	28.530	90.330	9.670	88.79	224	0.875	bilinear	-10.136	-5.714	+11
53	efficientnet_b3a	71.460	28.540	90.020	9.980	12.23	320	1.000	bicubic	-10.794	-6.094	-4
54	resnet101d	71.400	28.600	90.150	9.850	44.57	256	0.940	bicubic	-10.910	-5.914	-7
55	ecaresnet101d	71.240	28.760	90.240	9.760	44.57	224	0.875	bicubic	-10.936	-5.816	-4
56	ssl_resnext101_32x16d	71.170	28.830	90.460	9.540	194.03	224	0.875	bilinear	-10.668	-5.632	0
57	vit_base_patch32_384	71.120	28.880	90.520	9.480	88.30	384	1.000	bicubic	-10.536	-5.610	+3
58	regnety_032	71.070	28.930	90.250	9.750	19.44	224	0.875	bicubic	-10.938	-5.662	-3
59	vit_base_patch16_224	71.030	28.970	90.420	9.580	86.57	224	0.900	bicubic	-10.754	-5.706	-1
60	tf_efficientnet_b3_ap	71.010	28.990	89.220	10.780	12.23	300	0.904	bicubic	-10.812	-6.400	-3
61	rexnet_200	70.840	29.160	89.800	10.200	16.37	224	0.875	bicubic	-10.786	-5.872	+1
62	resnest50d_4s2x40d	70.800	29.200	89.520	10.480	30.42	224	0.875	bicubic	-10.314	-6.034	+10
63	tresnet_m_448	70.780	29.220	88.690	11.310	31.39	448	0.875	bilinear	-10.938	-6.876	-4
64	wide_resnet50_2	70.690	29.310	89.110	10.890	68.88	224	0.875	bicubic	-10.762	-6.412	+2
65	tresnet_l	70.670	29.330	89.640	10.360	55.99	224	0.875	bilinear	-10.816	-5.980	0
66	tf_efficientnet_b1_ns	70.630	29.370	89.930	10.070	7.79	240	0.882	bicubic	-10.756	-5.810	+1
67	legacy_senet154	70.490	29.510	88.960	11.040	115.09	224	0.875	bilinear	-10.836	-6.548	+1
68	gluon_seresnext101_64x4d	70.460	29.540	89.180	10.820	88.23	224	0.875	bicubic	-10.424	-6.134	+9
69	seresnext50_32x4d	70.450	29.550	89.130	10.870	27.56	224	0.875	bicubic	-10.824	-6.488	0
70	tf_efficientnet_b3	70.400	29.600	89.270	10.730	12.23	300	0.904	bicubic	-11.246	-6.452	-9
71	ssl_resnext101_32x4d	70.370	29.630	89.810	10.190	44.18	224	0.875	bilinear	-10.544	-5.924	+5
72	gluon_senet154	70.350	29.650	88.970	11.030	115.09	224	0.875	bicubic	-10.878	-6.382	-2
73	resnest50d_1s4x24d	70.350	29.650	89.140	10.860	25.68	224	0.875	bicubic	-10.654	-6.186	+1
74	resnetv2_101x1_bitm	70.320	29.680	90.640	9.360	44.54	480	1.000	bilinear	-11.894	-5.832	-24
75	resnest50d	70.250	29.750	88.620	11.380	27.48	224	0.875	bilinear	-10.708	-6.758	0
76	tf_efficientnet_lite4	70.200	29.800	89.030	10.970	13.01	380	0.920	bilinear	-11.336	-6.630	-12
77	gluon_resnet152_v1s	70.120	29.880	88.890	11.110	60.32	224	0.875	bicubic	-10.898	-6.530	-4
78	gluon_seresnext101_32x4d	69.910	30.090	88.850	11.150	48.96	224	0.875	bicubic	-10.962	-6.442	0
79	regnety_320	69.870	30.130	88.760	11.240	145.05	224	0.875	bicubic	-10.928	-6.486	+3
80	gluon_resnet152_v1d	69.810	30.190	88.500	11.500	60.21	224	0.875	bicubic	-10.668	-6.700	+7
81	ecaresnet101d_pruned	69.700	30.300	89.330	10.670	24.88	224	0.875	bicubic	-11.116	-6.308	-1
82	tresnet_m	69.670	30.330	87.960	12.040	31.39	224	0.875	bilinear	-11.134	-6.898	-1
83	ssl_resnext50_32x4d	69.600	30.400	89.320	10.680	25.03	224	0.875	bilinear	-10.702	-6.092	+13
84	ecaresnet50d	69.570	30.430	89.290	10.710	25.58	224	0.875	bicubic	-11.044	-6.018	0
85	efficientnet_b3_pruned	69.530	30.470	88.770	11.230	9.86	300	0.904	bicubic	-11.328	-6.470	-6
86	gluon_resnext101_64x4d	69.490	30.510	88.260	11.740	83.46	224	0.875	bicubic	-11.140	-6.738	-3
87	regnetx_320	69.440	30.560	88.140	11.860	107.81	224	0.875	bicubic	-10.814	-6.890	+14
88	rexnet_150	69.410	30.590	88.970	11.030	9.73	224	0.875	bicubic	-10.900	-6.192	+7
89	efficientnet_b2a	69.400	30.600	88.650	11.350	9.11	288	1.000	bicubic	-11.214	-6.668	-4
90	ecaresnetlight	69.330	30.670	89.210	10.790	30.16	224	0.875	bicubic	-11.128	-6.040	-1
91	xception71	69.270	30.730	88.170	11.830	42.34	299	0.903	bicubic	-10.614	-6.762	+22
92	resnet50d	69.170	30.830	88.140	11.860	25.58	224	0.875	bicubic	-11.378	-7.018	-6
93	mixnet_xl	69.060	30.940	88.360	11.640	11.90	224	0.875	bicubic	-11.414	-6.574	-5
94	legacy_seresnext101_32x4d	69.040	30.960	88.070	11.930	48.96	224	0.875	bilinear	-11.188	-6.950	+8
95	regnety_120	68.990	31.010	88.180	11.820	51.82	224	0.875	bicubic	-11.388	-6.942	-2
96	gluon_resnet152_v1c	68.960	31.040	87.650	12.350	60.21	224	0.875	bicubic	-10.954	-7.198	+15
97	efficientnet_b2	68.930	31.070	88.470	11.530	9.11	260	0.875	bicubic	-11.448	-6.608	-5
98	gluon_resnext101_32x4d	68.880	31.120	88.310	11.690	44.18	224	0.875	bicubic	-11.454	-6.598	-4
99	hrnet_w64	68.840	31.160	88.160	11.840	128.06	224	0.875	bilinear	-10.622	-6.494	+31
100	gluon_resnet152_v1b	68.800	31.200	87.560	12.440	60.19	224	0.875	bicubic	-10.892	-7.174	+22
101	tf_efficientnet_b2_ap	68.790	31.210	88.330	11.670	9.11	260	0.890	bicubic	-11.512	-6.702	-4
102	gluon_resnet101_v1d	68.780	31.220	88.080	11.920	44.57	224	0.875	bicubic	-11.622	-6.940	-11
103	gluon_xception65	68.770	31.230	87.950	12.050	39.92	299	0.903	bicubic	-10.932	-6.918	+18
104	seresnet50	68.760	31.240	88.530	11.470	28.09	224	0.875	bicubic	-11.498	-6.536	-5
105	xception65	68.760	31.240	88.250	11.750	39.92	299	0.903	bicubic	-10.790	-6.408	+21
106	cspdarknet53	68.760	31.240	88.530	11.470	27.64	256	0.887	bilinear	-11.288	-6.562	+3
107	cspresnext50	68.720	31.280	88.030	11.970	20.57	224	0.875	bilinear	-11.326	-6.914	+1
108	regnety_160	68.720	31.280	88.200	11.800	83.59	224	0.875	bicubic	-11.556	-6.768	-9
109	resnext50d_32x4d	68.670	31.330	88.230	11.770	25.05	224	0.875	bicubic	-10.998	-6.636	+14
110	dpn131	68.640	31.360	87.220	12.780	79.25	224	0.875	bicubic	-11.186	-7.492	+6
111	gluon_resnet101_v1s	68.640	31.360	87.720	12.280	44.67	224	0.875	bicubic	-11.646	-7.440	-13
112	gluon_seresnext50_32x4d	68.570	31.430	88.140	11.860	27.56	224	0.875	bicubic	-11.354	-6.682	-2
113	regnetx_160	68.520	31.480	88.280	11.720	54.28	224	0.875	bicubic	-11.318	-6.544	+2
114	regnety_080	68.500	31.500	88.000	12.000	39.18	224	0.875	bicubic	-11.370	-6.830	0
115	tf_efficientnet_b2	68.460	31.540	88.020	11.980	9.11	260	0.890	bicubic	-11.612	-6.884	-9
116	skresnext50_32x4d	68.440	31.560	87.610	12.390	27.48	224	0.875	bicubic	-11.706	-7.030	-11
117	dpn107	68.390	31.610	88.070	11.930	86.92	224	0.875	bicubic	-11.766	-6.840	-13
118	cspresnet50	68.380	31.620	87.950	12.050	21.62	256	0.887	bilinear	-11.194	-6.758	+8
119	dla102x2	68.380	31.620	87.800	12.200	41.28	224	0.875	bilinear	-11.062	-6.846	+12
120	resnext50_32x4d	68.360	31.640	87.570	12.430	25.03	224	0.875	bicubic	-11.430	-7.036	-2
121	ssl_resnet50	68.360	31.640	88.580	11.420	25.56	224	0.875	bilinear	-10.876	-6.250	+20
122	regnety_064	68.350	31.650	88.030	11.970	30.58	224	0.875	bicubic	-11.382	-6.734	-3
123	dpn98	68.300	31.700	87.560	12.440	61.57	224	0.875	bicubic	-11.350	-7.046	+1
124	regnetx_120	68.240	31.760	87.570	12.430	46.11	224	0.875	bicubic	-11.370	-7.162	+1
125	efficientnet_b2_pruned	68.220	31.780	88.070	11.930	8.31	260	0.890	bicubic	-11.686	-6.786	-13
126	ese_vovnet39b	68.220	31.780	88.290	11.710	24.57	224	0.875	bicubic	-11.092	-6.432	+9
127	rexnet_130	68.220	31.780	88.010	11.990	7.56	224	0.875	bicubic	-11.274	-6.664	+2
128	tf_efficientnet_el	68.170	31.830	88.230	11.770	10.59	300	0.904	bicubic	-12.278	-6.940	-38
129	ecaresnet50d_pruned	68.160	31.840	88.340	11.660	19.94	224	0.875	bicubic	-11.552	-6.536	-9
130	gluon_resnext50_32x4d	68.160	31.840	87.370	12.630	25.03	224	0.875	bicubic	-11.194	-7.054	+2
131	regnetx_080	67.930	32.070	87.080	12.920	39.57	224	0.875	bicubic	-11.282	-7.474	+13
132	tf_efficientnet_lite3	67.920	32.080	87.710	12.290	8.20	300	0.904	bilinear	-11.906	-7.198	-15
133	legacy_seresnext50_32x4d	67.890	32.110	87.590	12.410	27.56	224	0.875	bilinear	-11.194	-6.844	+14
134	gluon_resnet50_v1d	67.880	32.120	86.940	13.060	25.58	224	0.875	bicubic	-11.184	-7.530	+15
135	hrnet_w48	67.800	32.200	87.370	12.630	77.47	224	0.875	bilinear	-11.516	-7.144	-1
136	resnext101_32x8d	67.750	32.250	87.360	12.640	88.79	224	0.875	bilinear	-11.554	-7.166	+1
137	tf_efficientnet_b0_ns	67.720	32.280	87.940	12.060	5.29	224	0.875	bicubic	-10.940	-6.432	+27
138	hrnet_w44	67.700	32.300	87.510	12.490	67.06	224	0.875	bilinear	-11.190	-6.864	+16
139	dla169	67.670	32.330	87.470	12.530	53.39	224	0.875	bilinear	-11.024	-6.860	+23
140	regnetx_064	67.660	32.340	87.470	12.530	26.21	224	0.875	bicubic	-11.404	-6.990	+8
141	regnety_040	67.620	32.380	87.390	12.610	20.65	224	0.875	bicubic	-11.612	-7.254	+1
142	dpn92	67.580	32.420	87.290	12.710	37.67	224	0.875	bicubic	-12.410	-7.554	-33
143	efficientnet_em	67.560	32.440	88.120	11.880	6.90	240	0.882	bicubic	-11.704	-6.670	-3
144	xception	67.550	32.450	87.510	12.490	22.86	299	0.897	bicubic	-11.496	-6.886	+6
145	gluon_inception_v3	67.540	32.460	87.250	12.750	23.83	299	0.875	bicubic	-11.260	-7.130	+12
146	dpn68b	67.530	32.470	87.500	12.500	12.61	224	0.875	bicubic	-11.682	-6.922	-3
147	legacy_seresnet152	67.510	32.490	87.470	12.530	66.82	224	0.875	bilinear	-11.156	-6.906	+16
148	hrnet_w40	67.480	32.520	87.140	12.860	57.56	224	0.875	bilinear	-11.452	-7.338	+5
149	resnetblur50	67.460	32.540	87.570	12.430	25.56	224	0.875	bicubic	-11.826	-7.070	-11
150	resnet50	67.450	32.550	87.430	12.570	25.56	224	0.875	bicubic	-11.586	-6.962	+1
151	resnetv2_50x1_bitm	67.440	32.560	89.100	10.900	25.55	480	1.000	bilinear	-12.752	-6.530	-48
152	res2net50_26w_8s	67.430	32.570	87.140	12.860	48.40	224	0.875	bilinear	-11.762	-7.228	-6
153	tf_efficientnet_b1_ap	67.430	32.570	87.540	12.460	7.79	240	0.882	bicubic	-11.846	-6.762	-14
154	tf_efficientnet_cc_b1_8e	67.380	32.620	87.280	12.720	39.72	240	0.882	bicubic	-11.946	-7.092	-21
155	gluon_resnet101_v1b	67.360	32.640	87.050	12.950	44.55	224	0.875	bicubic	-11.944	-7.480	-19
156	res2net101_26w_4s	67.350	32.650	87.170	12.830	45.21	224	0.875	bilinear	-11.844	-7.264	-11
157	xception41	67.300	32.700	87.150	12.850	26.97	299	0.903	bicubic	-11.236	-7.134	+8
158	gluon_resnet101_v1c	67.300	32.700	87.060	12.940	44.57	224	0.875	bicubic	-12.232	-7.528	-29
159	efficientnet_b1	67.250	32.750	86.970	13.030	7.79	240	0.875	bicubic	-11.456	-7.184	+1
160	regnetx_032	67.140	32.860	86.980	13.020	15.30	224	0.875	bicubic	-11.008	-7.108	+20
161	legacy_seresnet101	67.120	32.880	87.040	12.960	49.33	224	0.875	bilinear	-11.260	-7.222	+13
162	dla60_res2net	67.110	32.890	87.060	12.940	20.85	224	0.875	bilinear	-11.350	-7.146	+8
163	resnest26d	67.110	32.890	87.130	12.870	17.07	224	0.875	bilinear	-11.370	-7.170	+6
164	dla60x	67.080	32.920	87.190	12.810	17.35	224	0.875	bilinear	-11.170	-6.834	+12
165	dla102x	67.010	32.990	86.730	13.270	26.31	224	0.875	bilinear	-11.500	-7.500	+2
166	res2net50_26w_6s	66.950	33.050	86.810	13.190	37.05	224	0.875	bilinear	-11.616	-7.310	-1
167	gluon_resnet50_v1s	66.940	33.060	86.790	13.210	25.68	224	0.875	bicubic	-11.760	-7.456	-6
168	mixnet_l	66.940	33.060	86.790	13.210	7.33	224	0.875	bicubic	-12.040	-7.392	-16
169	tv_resnet152	66.920	33.080	87.450	12.550	60.19	224	0.875	bilinear	-11.400	-6.602	+6
170	tf_efficientnet_b1	66.810	33.190	86.920	13.080	7.79	240	0.882	bicubic	-12.034	-7.276	-14
171	dla60_res2next	66.710	33.290	86.940	13.060	17.03	224	0.875	bilinear	-11.734	-7.218	+1
172	gluon_resnet50_v1c	66.710	33.290	86.080	13.920	25.58	224	0.875	bicubic	-11.298	-7.908	+12
173	efficientnet_es	66.700	33.300	86.670	13.330	5.44	224	0.875	bicubic	-11.388	-7.262	+9
174	hrnet_w30	66.700	33.300	86.730	13.270	37.71	224	0.875	bilinear	-11.506	-7.494	+5
175	regnetx_040	66.650	33.350	86.530	13.470	22.12	224	0.875	bicubic	-11.834	-7.722	-7
176	hrnet_w32	66.640	33.360	87.180	12.820	41.23	224	0.875	bilinear	-11.806	-7.010	-5
177	selecsls60b	66.640	33.360	86.590	13.410	32.77	224	0.875	bicubic	-11.770	-7.588	-4
178	tf_mixnet_l	66.620	33.380	86.390	13.610	7.33	224	0.875	bicubic	-12.156	-7.612	-20
179	dla102	66.570	33.430	86.930	13.070	33.27	224	0.875	bilinear	-11.460	-7.022	+4
180	wide_resnet101_2	66.550	33.450	87.010	12.990	126.89	224	0.875	bilinear	-12.304	-7.272	-25
181	tf_efficientnet_em	66.540	33.460	86.800	13.200	6.90	240	0.882	bicubic	-12.172	-7.528	-22
182	adv_inception_v3	66.360	33.640	86.380	13.620	23.83	299	0.875	bicubic	-11.222	-7.360	+16
183	selecsls60	66.340	33.660	86.290	13.710	30.67	224	0.875	bicubic	-11.650	-7.538	+3
184	tf_inception_v3	66.310	33.690	86.570	13.430	23.83	299	0.875	bicubic	-11.556	-7.076	+7
185	efficientnet_b0	66.130	33.870	86.090	13.910	5.29	224	0.875	bicubic	-11.576	-7.432	+9
186	tf_efficientnet_cc_b0_8e	66.110	33.890	86.110	13.890	24.01	224	0.875	bicubic	-11.798	-7.542	+3
187	legacy_seresnet50	66.090	33.910	86.290	13.710	28.09	224	0.875	bilinear	-11.546	-7.454	+8
188	res2net50_14w_8s	66.020	33.980	86.200	13.800	25.06	224	0.875	bilinear	-12.118	-7.656	-7
189	res2net50_26w_4s	66.010	33.990	86.580	13.420	25.70	224	0.875	bilinear	-11.982	-7.272	-4
190	inception_v3	66.000	34.000	86.120	13.880	23.83	299	0.875	bicubic	-11.464	-7.356	+12
191	tv_resnext50_32x4d	65.970	34.030	86.030	13.970	25.03	224	0.875	bilinear	-11.644	-7.654	+5
192	regnety_016	65.950	34.050	86.270	13.730	11.20	224	0.875	bicubic	-11.918	-7.456	-3
193	efficientnet_b1_pruned	65.950	34.050	86.500	13.500	6.33	240	0.882	bicubic	-12.298	-7.336	-15
194	gluon_resnet50_v1b	65.910	34.090	86.230	13.770	25.56	224	0.875	bicubic	-11.668	-7.488	+5
195	tv_resnet101	65.850	34.150	85.980	14.020	44.55	224	0.875	bilinear	-11.516	-7.576	+8
196	rexnet_100	65.810	34.190	86.510	13.490	4.80	224	0.875	bicubic	-12.052	-7.368	-4
197	seresnext26tn_32x4d	65.780	34.220	85.600	14.400	16.81	224	0.875	bicubic	-12.206	-8.144	-9
198	resnet34d	65.770	34.230	86.630	13.370	21.82	224	0.875	bicubic	-11.344	-6.752	+13
199	densenet161	65.710	34.290	86.510	13.490	28.68	224	0.875	bicubic	-11.650	-7.124	+5
200	vit_small_patch16_224	65.710	34.290	86.130	13.870	48.75	224	0.900	bicubic	-12.144	-7.294	-7
201	skresnet34	65.690	34.310	85.960	14.040	22.28	224	0.875	bicubic	-11.240	-7.362	+16
202	res2next50	65.610	34.390	85.790	14.210	24.67	224	0.875	bilinear	-12.626	-8.116	-24
203	selecsls42b	65.560	34.440	85.860	14.140	32.46	224	0.875	bicubic	-11.624	-7.528	+7
204	seresnext26t_32x4d	65.440	34.560	86.140	13.860	16.82	224	0.875	bicubic	-12.548	-7.592	-17
205	tf_efficientnet_lite2	65.310	34.690	86.010	13.990	6.09	260	0.890	bicubic	-12.172	-7.738	-4
206	densenet201	65.300	34.700	85.660	14.340	20.01	224	0.875	bicubic	-11.990	-7.820	0
207	densenetblur121d	65.260	34.740	85.790	14.210	8.00	224	0.875	bicubic	-11.326	-7.406	+16
208	seresnext26d_32x4d	65.250	34.750	85.820	14.180	16.81	224	0.875	bicubic	-12.336	-7.788	-11
209	res2net50_48w_2s	65.220	34.780	85.910	14.090	25.29	224	0.875	bilinear	-12.314	-7.650	-9
210	tf_efficientnet_b0_ap	65.200	34.800	85.490	14.510	5.29	224	0.875	bicubic	-11.902	-7.774	+3
211	hrnet_w18	65.110	34.890	85.670	14.330	21.30	224	0.875	bilinear	-11.654	-7.772	+9
212	ese_vovnet19b_dw	65.090	34.910	85.420	14.580	6.54	224	0.875	bicubic	-11.728	-7.858	+7
213	dla60	65.070	34.930	85.700	14.300	22.04	224	0.875	bilinear	-11.966	-7.624	+1
214	tf_efficientnet_es	65.030	34.970	85.410	14.590	5.44	224	0.875	bicubic	-12.254	-8.194	-7
215	tf_efficientnet_cc_b0_4e	64.940	35.060	85.030	14.970	13.31	224	0.875	bicubic	-12.380	-8.292	-10
216	mobilenetv2_120d	64.930	35.070	85.870	14.130	5.83	224	0.875	bicubic	-12.348	-7.640	-8
217	legacy_seresnext26_32x4d	64.820	35.180	85.540	14.460	16.79	224	0.875	bicubic	-12.286	-7.768	-5
218	mixnet_m	64.740	35.260	85.510	14.490	5.01	224	0.875	bicubic	-12.534	-7.912	-9
219	resnet26d	64.590	35.410	85.090	14.910	16.01	224	0.875	bicubic	-12.098	-8.056	+2
220	tf_efficientnet_lite1	64.490	35.510	85.510	14.490	5.42	240	0.882	bicubic	-12.176	-7.728	+2
221	tf_mixnet_m	64.470	35.530	84.930	15.070	5.01	224	0.875	bicubic	-12.486	-8.234	-6
222	densenet169	64.420	35.580	85.270	14.730	14.15	224	0.875	bicubic	-11.478	-7.752	+7
223	regnetx_016	64.270	35.730	85.450	14.550	9.19	224	0.875	bicubic	-12.676	-7.976	-7
224	tf_efficientnet_b0	64.150	35.850	85.170	14.830	5.29	224	0.875	bicubic	-12.698	-8.062	-6
225	dpn68	64.030	35.970	84.990	15.010	12.61	224	0.875	bicubic	-12.282	-7.978	+1
226	mobilenetv2_140	63.850	36.150	84.950	15.050	6.11	224	0.875	bicubic	-12.662	-8.048	-2
227	densenet121	63.730	36.270	84.600	15.400	7.98	224	0.875	bicubic	-11.834	-8.048	+6
228	regnety_008	63.720	36.280	85.240	14.760	6.26	224	0.875	bicubic	-12.600	-7.828	-3
229	mixnet_s	63.540	36.460	84.710	15.290	4.13	224	0.875	bicubic	-12.454	-8.080	-1
230	resnest14d	63.540	36.460	84.020	15.980	10.61	224	0.875	bilinear	-11.974	-8.498	+4
231	resnet26	63.440	36.560	84.220	15.780	16.00	224	0.875	bicubic	-11.850	-8.346	+7
232	tf_mixnet_s	63.430	36.570	84.090	15.910	4.13	224	0.875	bicubic	-12.252	-8.548	-1
233	mobilenetv3_large_100	63.310	36.690	84.050	15.950	5.48	224	0.875	bicubic	-12.464	-8.488	-3
234	mobilenetv3_rw	63.270	36.730	84.560	15.440	5.48	224	0.875	bicubic	-12.350	-8.152	-2
235	tv_resnet50	63.210	36.790	84.650	15.350	25.56	224	0.875	bilinear	-12.948	-8.228	-8
236	efficientnet_lite0	63.150	36.850	84.350	15.650	4.65	224	0.875	bicubic	-12.352	-8.164	0
237	semnasnet_100	63.060	36.940	84.450	15.550	3.89	224	0.875	bicubic	-12.392	-8.160	0
238	resnet34	62.860	37.140	84.150	15.850	21.80	224	0.875	bilinear	-12.246	-8.126	+4
239	tv_densenet121	62.790	37.210	84.120	15.880	7.98	224	0.875	bicubic	-11.952	-8.034	+8
240	legacy_seresnet34	62.770	37.230	84.200	15.800	21.96	224	0.875	bilinear	-12.020	-7.926	+6
241	regnety_006	62.740	37.260	84.110	15.890	6.06	224	0.875	bicubic	-12.528	-8.420	-2
242	hrnet_w18_small_v2	62.660	37.340	83.840	16.160	15.60	224	0.875	bilinear	-12.448	-8.572	-1
243	swsl_resnet18	62.650	37.350	84.290	15.710	11.69	224	0.875	bilinear	-10.630	-7.468	+13
244	mobilenetv2_110d	62.620	37.380	84.450	15.550	4.52	224	0.875	bicubic	-12.428	-7.740	0
245	tf_efficientnet_lite0	62.550	37.450	84.160	15.840	4.65	224	0.875	bicubic	-12.282	-8.014	0
246	dla34	62.500	37.500	83.870	16.130	15.74	224	0.875	bilinear	-12.124	-8.192	+3
247	regnetx_008	62.500	37.500	83.970	16.030	7.26	224	0.875	bicubic	-12.552	-8.372	-4
248	gluon_resnet34_v1b	62.450	37.550	83.920	16.080	21.80	224	0.875	bicubic	-12.138	-8.076	+2
249	fbnetc_100	62.370	37.630	83.370	16.630	5.57	224	0.875	bilinear	-12.746	-9.004	-9
250	tf_mobilenetv3_large_100	62.230	37.770	83.840	16.160	5.48	224	0.875	bilinear	-13.280	-8.770	-15
251	regnety_004	61.960	38.040	83.450	16.550	4.34	224	0.875	bicubic	-12.058	-8.314	+1
252	mnasnet_100	61.900	38.100	83.740	16.260	4.38	224	0.875	bicubic	-12.770	-8.362	-4
253	ssl_resnet18	61.520	38.480	83.290	16.710	11.69	224	0.875	bilinear	-11.096	-8.126	+6
254	tv_resnet34	61.150	38.850	82.640	17.360	21.80	224	0.875	bilinear	-12.154	-8.784	+1
255	regnetx_006	61.130	38.870	83.240	16.760	6.20	224	0.875	bicubic	-12.714	-8.438	-2
256	spnasnet_100	61.070	38.930	82.770	17.230	4.42	224	0.875	bilinear	-13.010	-9.050	-5
257	skresnet18	60.820	39.180	82.870	17.130	11.96	224	0.875	bicubic	-12.206	-8.302	0
258	tf_mobilenetv3_large_075	60.370	39.630	81.790	18.210	3.99	224	0.875	bilinear	-13.078	-9.552	-4
259	mobilenetv2_100	60.210	39.790	82.030	17.970	3.50	224	0.875	bicubic	-12.740	-8.972	-1
260	resnet18d	59.860	40.140	82.310	17.690	11.71	224	0.875	bicubic	-12.414	-8.378	+2
261	legacy_seresnet18	59.710	40.290	81.610	18.390	11.78	224	0.875	bicubic	-12.026	-8.732	+3
262	regnetx_004	59.250	40.750	81.830	18.170	5.16	224	0.875	bicubic	-13.144	-8.988	-2
263	tf_mobilenetv3_large_minimal_100	59.040	40.960	80.890	19.110	3.92	224	0.875	bilinear	-13.204	-9.746	0
264	hrnet_w18_small	58.900	41.100	81.310	18.690	13.19	224	0.875	bilinear	-13.436	-9.374	-3
265	gluon_resnet18_v1b	58.300	41.700	80.990	19.010	11.69	224	0.875	bicubic	-12.538	-8.768	0
266	resnet18	57.250	42.750	80.100	19.900	11.69	224	0.875	bilinear	-12.492	-8.986	+1
267	regnety_002	56.980	43.020	79.820	20.180	3.16	224	0.875	bicubic	-13.298	-9.726	-1
268	dla60x_c	56.100	43.900	78.950	21.050	1.32	224	0.875	bilinear	-11.812	-9.468	+2
269	regnetx_002	55.820	44.180	79.230	20.770	2.68	224	0.875	bicubic	-12.934	-9.330	-1
270	tf_mobilenetv3_small_100	54.530	45.470	77.020	22.980	2.54	224	0.875	bilinear	-13.392	-10.656	-1
271	dla46x_c	53.130	46.870	76.800	23.200	1.07	224	0.875	bilinear	-12.846	-10.188	0
272	tf_mobilenetv3_small_075	52.360	47.640	75.470	24.530	2.04	224	0.875	bilinear	-13.364	-10.664	0
273	dla46_c	52.020	47.980	75.730	24.270	1.30	224	0.875	bilinear	-12.850	-10.564	0
274	tf_mobilenetv3_small_minimal_100	49.570	50.430	72.830	27.170	2.04	224	0.875	bilinear	-13.340	-11.414	0
275	pnasnet5large	1.000	99.000	18.050	81.950	86.06	331	0.911	bicubic	+0.016	-0.526	+2
276	inception_resnet_v2	0.990	99.010	16.530	83.470	55.85	299	0.897	bicubic	+0.040	-0.764	+2
277	ens_adv_inception_resnet_v2	0.970	99.030	16.450	83.550	55.85	299	0.897	bicubic	-0.028	-0.874	-1
278	inception_v4	0.950	99.050	16.030	83.970	42.68	299	0.875	bicubic	-0.058	-0.824	-3