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	80.540	19.460	95.620	4.380	480.31	475	0.936	bicubic	-7.690	-2.926	+1
3	tf_efficientnet_l2_ns	80.110	19.890	95.840	4.160	480.31	800	0.960	bicubic	-8.226	-2.824	-1
4	tf_efficientnet_b7_ns	77.830	22.170	94.320	5.680	66.35	600	0.949	bicubic	-9.000	-3.772	0
5	tf_efficientnet_b6_ns	77.030	22.970	93.790	6.210	43.04	528	0.942	bicubic	-9.432	-4.088	0
6	ig_resnext101_32x32d	76.800	23.200	93.230	6.770	468.53	224	0.875	bilinear	-8.346	-4.226	+11
7	tf_efficientnet_b5_ns	76.730	23.270	93.480	6.520	30.39	456	0.934	bicubic	-9.342	-4.268	0
8	ig_resnext101_32x48d	76.650	23.350	93.420	6.580	828.41	224	0.875	bilinear	-8.852	-4.128	+3
9	tf_efficientnet_b7_ap	75.970	24.030	92.900	7.100	66.35	600	0.949	bicubic	-9.154	-4.356	+9
10	tf_efficientnet_b8_ap	75.950	24.050	92.670	7.330	87.41	672	0.954	bicubic	-9.434	-4.628	+4
11	dm_nfnet_f6	75.770	24.230	92.970	7.030	438.36	576	0.956	bicubic	-10.536	-4.772	-5
12	ig_resnext101_32x16d	75.690	24.310	92.910	7.090	194.03	224	0.875	bilinear	-8.478	-4.286	+21
13	tf_efficientnet_b4_ns	75.490	24.510	92.940	7.060	19.34	380	0.922	bicubic	-9.704	-4.560	+2
14	swsl_resnext101_32x8d	75.460	24.540	92.720	7.280	88.79	224	0.875	bilinear	-8.872	-4.434	+16
15	vit_base_resnet50_384	75.430	24.570	92.700	7.300	98.95	384	1.000	bicubic	-9.564	-4.594	+4
16	vit_deit_base_distilled_patch16_384	75.410	24.590	92.530	7.470	87.63	384	1.000	bicubic	-10.012	-4.804	-4
17	tf_efficientnet_b6_ap	75.370	24.630	92.290	7.710	43.04	528	0.942	bicubic	-9.420	-4.846	+7
18	dm_nfnet_f4	75.230	24.770	92.640	7.360	316.07	512	0.951	bicubic	-10.496	-4.878	-10
19	dm_nfnet_f3	75.160	24.840	92.710	7.290	254.92	416	0.940	bicubic	-10.422	-4.680	-9
20	ecaresnet269d	74.850	25.150	92.760	7.240	102.09	352	1.000	bicubic	-10.076	-4.476	+2
21	vit_large_patch16_384	74.800	25.200	92.610	7.390	304.72	384	1.000	bicubic	-10.370	-4.734	-5
22	dm_nfnet_f5	74.630	25.370	92.370	7.630	377.21	544	0.954	bicubic	-11.090	-5.066	-13
23	tf_efficientnet_b8	74.530	25.470	92.200	7.800	87.41	672	0.954	bicubic	-10.854	-5.200	-10
24	tf_efficientnet_b7	74.430	25.570	92.130	7.870	66.35	600	0.949	bicubic	-10.506	-5.078	-3
25	dm_nfnet_f1	74.380	25.620	92.320	7.680	132.63	320	0.910	bicubic	-10.214	-4.760	0
26	tf_efficientnet_b5_ap	74.380	25.620	91.940	8.060	30.39	456	0.934	bicubic	-9.880	-5.034	+5
27	dm_nfnet_f2	74.340	25.660	92.060	7.940	193.78	352	0.920	bicubic	-10.628	-5.064	-7
28	resnest200e	74.260	25.740	91.860	8.140	70.20	320	0.909	bicubic	-9.580	-4.998	+9
29	seresnet152d	74.190	25.810	91.960	8.040	66.84	320	1.000	bicubic	-10.160	-5.082	0
30	swsl_resnext101_32x4d	74.060	25.940	92.010	7.990	44.18	224	0.875	bilinear	-9.192	-4.758	+14
31	resnest269e	73.990	26.010	91.980	8.020	110.93	416	0.928	bicubic	-10.528	-5.022	-5
32	tf_efficientnet_b6	73.950	26.050	91.730	8.270	43.04	528	0.942	bicubic	-10.172	-5.160	+2
33	tf_efficientnet_b3_ns	73.760	26.240	91.810	8.190	12.23	300	0.904	bicubic	-10.252	-5.100	+2
34	ig_resnext101_32x8d	73.720	26.280	92.100	7.900	88.79	224	0.875	bilinear	-8.940	-4.584	+19
35	swsl_resnext101_32x16d	73.700	26.300	92.120	7.880	194.03	224	0.875	bilinear	-9.764	-4.746	+6
36	vit_base_patch16_384	73.620	26.380	92.100	7.900	86.86	384	1.000	bicubic	-10.592	-5.116	-4
37	resnet200d	73.450	26.550	91.490	8.510	64.69	320	1.000	bicubic	-10.550	-5.334	-1
38	tf_efficientnet_b5	73.250	26.750	91.350	8.650	30.39	456	0.934	bicubic	-10.570	-5.410	0
39	resnet152d	73.240	26.760	91.190	8.810	60.21	320	1.000	bicubic	-10.424	-5.536	+1
40	resnetv2_152x4_bitm	73.160	26.840	91.810	8.190	936.53	480	1.000	bilinear	-11.756	-5.634	-17
41	vit_deit_base_distilled_patch16_224	73.020	26.980	90.930	9.070	87.34	224	0.900	bicubic	-10.352	-5.574	+1
42	resnetv2_152x2_bitm	72.840	27.160	92.040	7.960	236.34	480	1.000	bilinear	-11.588	-5.412	-15
43	tf_efficientnet_b4_ap	72.770	27.230	91.000	9.000	19.34	380	0.922	bicubic	-10.454	-5.366	+2
44	dm_nfnet_f0	72.590	27.410	91.010	8.990	71.49	256	0.900	bicubic	-10.780	-5.548	-1
45	pnasnet5large	72.550	27.450	90.510	9.490	86.06	331	0.911	bicubic	-10.236	-5.566	+7
46	nasnetalarge	72.470	27.530	90.500	9.500	88.75	331	0.911	bicubic	-10.170	-5.552	+8
47	resnetv2_101x3_bitm	72.460	27.540	91.820	8.180	387.93	480	1.000	bilinear	-11.932	-5.538	-19
48	vit_deit_base_patch16_384	72.430	27.570	90.200	9.800	86.86	384	1.000	bicubic	-10.662	-6.152	-2
49	swsl_resnext50_32x4d	72.370	27.630	90.980	9.020	25.03	224	0.875	bilinear	-9.816	-5.284	+11
50	tf_efficientnet_b2_ns	72.370	27.630	90.970	9.030	9.11	260	0.890	bicubic	-9.996	-5.290	+5
51	resnet101d	72.360	27.640	90.560	9.440	44.57	320	1.000	bicubic	-10.640	-5.900	-2
52	resnest101e	72.350	27.650	90.690	9.310	48.28	256	0.875	bilinear	-10.474	-5.620	-1
53	tresnet_xl_448	72.160	27.840	90.110	9.890	78.44	448	0.875	bilinear	-10.882	-6.072	-5
54	tf_efficientnet_b4	72.150	27.850	90.510	9.490	19.34	380	0.922	bicubic	-10.824	-5.782	-4
55	vit_large_patch16_224	71.780	28.220	90.840	9.160	304.33	224	0.900	bicubic	-11.280	-5.584	-8
56	swsl_resnet50	71.610	28.390	90.590	9.410	25.56	224	0.875	bilinear	-9.514	-5.398	+29
57	efficientnet_b3	71.540	28.460	90.110	9.890	12.23	300	0.904	bicubic	-10.492	-5.926	+6
58	efficientnet_b3a	71.520	28.480	89.990	10.010	12.23	320	1.000	bicubic	-10.712	-6.136	0
59	tresnet_l_448	71.470	28.530	89.940	10.060	55.99	448	0.875	bilinear	-10.820	-6.038	-2
60	resnetv2_50x3_bitm	71.460	28.540	91.380	8.620	217.32	480	1.000	bilinear	-12.340	-5.730	-21
61	ssl_resnext101_32x8d	71.410	28.590	90.400	9.600	88.79	224	0.875	bilinear	-10.190	-5.622	+12
62	tresnet_xl	71.370	28.630	89.490	10.510	78.44	224	0.875	bilinear	-10.796	-6.444	-1
63	ecaresnet50t	71.200	28.800	90.390	9.610	25.57	320	0.950	bicubic	-11.148	-5.754	-7
64	ecaresnet101d	71.160	28.840	90.230	9.770	44.57	224	0.875	bicubic	-10.958	-5.810	-2
65	regnety_032	71.110	28.890	90.310	9.690	19.44	224	0.875	bicubic	-10.906	-5.622	-1
66	ssl_resnext101_32x16d	71.110	28.890	90.420	9.580	194.03	224	0.875	bilinear	-10.736	-5.712	0
67	vit_base_patch32_384	71.090	28.910	90.460	9.540	88.30	384	1.000	bicubic	-10.574	-5.668	+4
68	vit_deit_base_patch16_224	71.030	28.970	89.180	10.820	86.57	224	0.900	bicubic	-10.964	-6.558	-3
69	vit_base_patch16_224	70.990	29.010	90.410	9.590	86.57	224	0.900	bicubic	-10.790	-5.702	-1
70	tf_efficientnet_b3_ap	70.930	29.070	89.220	10.780	12.23	300	0.904	bicubic	-10.872	-6.380	-3
71	vit_large_patch32_384	70.820	29.180	90.460	9.540	306.63	384	1.000	bicubic	-10.686	-5.648	+4
72	rexnet_200	70.770	29.230	89.690	10.310	16.37	224	0.875	bicubic	-10.918	-6.000	-2
73	tresnet_m_448	70.740	29.260	88.670	11.330	31.39	448	0.875	bilinear	-10.952	-6.890	-4
74	tf_efficientnet_b1_ns	70.700	29.300	89.880	10.120	7.79	240	0.882	bicubic	-10.698	-5.850	+3
75	resnest50d_4s2x40d	70.670	29.330	89.430	10.570	30.42	224	0.875	bicubic	-10.478	-6.122	+9
76	wide_resnet50_2	70.670	29.330	89.160	10.840	68.88	224	0.875	bicubic	-10.636	-6.428	+4
77	tresnet_l	70.600	29.400	89.610	10.390	55.99	224	0.875	bilinear	-10.890	-5.974	-1
78	legacy_senet154	70.500	29.500	88.910	11.090	115.09	224	0.875	bilinear	-10.822	-6.544	+1
79	vit_deit_small_distilled_patch16_224	70.480	29.520	89.460	10.540	22.44	224	0.900	bicubic	-10.770	-5.936	+3
80	tf_efficientnet_b3	70.440	29.560	89.280	10.720	12.23	300	0.904	bicubic	-11.186	-6.426	-8
81	gluon_seresnext101_64x4d	70.420	29.580	89.350	10.650	88.23	224	0.875	bicubic	-10.432	-5.986	+11
82	ssl_resnext101_32x4d	70.370	29.630	89.910	10.090	44.18	224	0.875	bilinear	-10.654	-5.838	+4
83	gluon_senet154	70.360	29.640	88.890	11.110	115.09	224	0.875	bicubic	-10.856	-6.430	0
84	resnest50d_1s4x24d	70.360	29.640	89.210	10.790	25.68	224	0.875	bicubic	-10.578	-6.108	+5
85	gernet_l	70.350	29.650	89.060	10.940	31.08	256	0.875	bilinear	-10.994	-6.480	-7
86	resnetv2_101x1_bitm	70.340	29.660	90.640	9.360	44.54	480	1.000	bilinear	-11.868	-5.820	-27
87	resnest50d	70.300	29.700	88.670	11.330	27.48	224	0.875	bilinear	-10.670	-6.680	+1
88	seresnext50_32x4d	70.200	29.800	89.130	10.870	27.56	224	0.875	bicubic	-11.070	-6.526	-7
89	gluon_resnet152_v1s	70.180	29.820	88.820	11.180	60.32	224	0.875	bicubic	-10.840	-6.606	-2
90	tf_efficientnet_lite4	70.170	29.830	89.180	10.820	13.01	380	0.920	bilinear	-11.346	-6.444	-16
91	repvgg_b3	69.980	30.020	88.730	11.270	123.09	224	0.875	bilinear	-10.460	-6.464	+14
92	inception_resnet_v2	69.920	30.080	88.680	11.320	55.84	299	0.897	bicubic	-10.528	-6.612	+12
93	regnety_320	69.910	30.090	88.780	11.220	145.05	224	0.875	bicubic	-10.872	-6.482	+1
94	ecaresnet101d_pruned	69.810	30.190	89.420	10.580	24.88	224	0.875	bicubic	-11.076	-6.152	-4
95	gluon_seresnext101_32x4d	69.810	30.190	88.930	11.070	48.96	224	0.875	bicubic	-11.068	-6.344	-4
96	gernet_m	69.650	30.350	88.450	11.550	21.14	224	0.875	bilinear	-11.080	-6.762	-1
97	ecaresnet50d	69.600	30.400	89.240	10.760	25.58	224	0.875	bicubic	-11.014	-6.074	+2
98	ssl_resnext50_32x4d	69.580	30.420	89.480	10.520	25.03	224	0.875	bilinear	-10.752	-5.902	+13
99	tresnet_m	69.570	30.430	87.900	12.100	31.39	224	0.875	bilinear	-11.150	-6.956	-4
100	repvgg_b3g4	69.570	30.430	88.570	11.430	83.83	224	0.875	bilinear	-10.668	-6.498	+20
101	gluon_resnet152_v1d	69.550	30.450	88.410	11.590	60.21	224	0.875	bicubic	-10.930	-6.852	+1
102	gluon_resnext101_64x4d	69.500	30.500	88.190	11.810	83.46	224	0.875	bicubic	-11.136	-6.800	-4
103	efficientnet_b3_pruned	69.450	30.550	88.740	11.260	9.86	300	0.904	bicubic	-11.370	-6.484	-10
104	efficientnet_b2a	69.420	30.580	88.630	11.370	9.11	288	1.000	bicubic	-11.188	-6.668	-4
105	regnetx_320	69.400	30.600	88.150	11.850	107.81	224	0.875	bicubic	-10.914	-6.918	+8
106	ens_adv_inception_resnet_v2	69.380	30.620	88.330	11.670	55.84	299	0.897	bicubic	-10.550	-6.620	+24
107	ecaresnetlight	69.350	30.650	89.020	10.980	30.16	224	0.875	bicubic	-11.110	-6.182	-4
108	inception_v4	69.350	30.650	88.760	11.240	42.68	299	0.875	bicubic	-10.804	-6.202	+14
109	nf_resnet50	69.350	30.650	88.710	11.290	25.56	288	0.940	bicubic	-11.316	-6.648	-12
110	xception71	69.310	30.690	88.130	11.870	42.34	299	0.903	bicubic	-10.536	-6.806	+26
111	rexnet_150	69.140	30.860	88.910	11.090	9.73	224	0.875	bicubic	-11.210	-6.292	-1
112	mixnet_xl	69.090	30.910	88.330	11.670	11.90	224	0.875	bicubic	-11.334	-6.558	-5
113	resnet50d	69.060	30.940	88.260	11.740	25.58	224	0.875	bicubic	-11.432	-6.868	-12
114	regnety_120	69.040	30.960	88.210	11.790	51.82	224	0.875	bicubic	-11.334	-6.898	-5
115	legacy_seresnext101_32x4d	69.020	30.980	88.150	11.850	48.96	224	0.875	bilinear	-11.262	-6.874	+2
116	seresnet50	69.020	30.980	88.470	11.530	28.09	224	0.875	bicubic	-11.272	-6.578	-1
117	gluon_resnext101_32x4d	68.980	31.020	88.340	11.660	44.18	224	0.875	bicubic	-11.238	-6.568	+3
118	efficientnet_b2	68.880	31.120	88.640	11.360	9.11	260	0.875	bicubic	-11.434	-6.472	-6
119	gluon_resnet152_v1c	68.870	31.130	87.890	12.110	60.21	224	0.875	bicubic	-10.980	-7.000	+16
120	gluon_xception65	68.810	31.190	88.000	12.000	39.92	299	0.903	bicubic	-10.946	-6.852	+20
121	tf_efficientnet_b2_ap	68.800	31.200	88.260	11.740	9.11	260	0.890	bicubic	-11.440	-6.724	-3
122	repvgg_b2g4	68.780	31.220	88.220	11.780	61.76	224	0.875	bilinear	-10.624	-6.486	+32
123	cspresnext50	68.770	31.230	88.030	11.970	20.57	224	0.875	bilinear	-11.236	-6.902	+5
124	cspdarknet53	68.760	31.240	88.440	11.560	27.64	256	0.887	bilinear	-11.290	-6.636	+1
125	resnext50d_32x4d	68.760	31.240	88.250	11.750	25.05	224	0.875	bicubic	-10.928	-6.594	+19
126	hrnet_w64	68.750	31.250	88.080	11.920	128.06	224	0.875	bilinear	-10.738	-6.558	+26
127	xception65	68.690	31.310	88.230	11.770	39.92	299	0.903	bicubic	-10.902	-6.428	+20
128	gluon_resnet152_v1b	68.670	31.330	87.630	12.370	60.19	224	0.875	bicubic	-10.964	-7.128	+18
129	regnety_160	68.650	31.350	88.260	11.740	83.59	224	0.875	bicubic	-11.764	-6.720	-21
130	gluon_resnet101_v1s	68.630	31.370	87.790	12.210	44.67	224	0.875	bicubic	-11.666	-7.386	-16
131	gluon_seresnext50_32x4d	68.600	31.400	88.070	11.930	27.56	224	0.875	bicubic	-11.348	-6.766	-2
132	gluon_resnet101_v1d	68.590	31.410	88.000	12.000	44.57	224	0.875	bicubic	-11.840	-7.014	-26
133	regnety_064	68.500	31.500	87.930	12.070	30.58	224	0.875	bicubic	-11.236	-6.828	+8
134	regnety_080	68.500	31.500	87.990	12.010	39.18	224	0.875	bicubic	-11.340	-6.858	+3
135	vit_deit_small_patch16_224	68.480	31.520	88.220	11.780	22.05	224	0.900	bicubic	-11.388	-6.822	-2
136	dpn131	68.460	31.540	87.320	12.680	79.25	224	0.875	bicubic	-11.406	-7.406	-2
137	resnext50_32x4d	68.450	31.550	87.590	12.410	25.03	224	0.875	bicubic	-11.272	-7.016	+5
138	dpn107	68.430	31.570	88.070	11.930	86.92	224	0.875	bicubic	-11.750	-6.836	-17
139	regnetx_160	68.410	31.590	88.280	11.720	54.28	224	0.875	bicubic	-11.474	-6.546	-8
140	cspresnet50	68.410	31.590	88.060	11.940	21.62	256	0.887	bilinear	-11.172	-6.652	+9
141	skresnext50_32x4d	68.400	31.600	87.640	12.360	27.48	224	0.875	bicubic	-11.754	-7.062	-18
142	dla102x2	68.380	31.620	87.840	12.160	41.28	224	0.875	bilinear	-11.048	-6.788	+11
143	tf_efficientnet_b2	68.360	31.640	88.000	12.000	9.11	260	0.890	bicubic	-11.664	-6.944	-16
144	ecaresnet50d_pruned	68.350	31.650	88.290	11.710	19.94	224	0.875	bicubic	-11.326	-6.632	+1
145	efficientnet_b2_pruned	68.350	31.650	88.130	11.870	8.31	260	0.890	bicubic	-11.482	-6.676	-7
146	dpn98	68.310	31.690	87.590	12.410	61.57	224	0.875	bicubic	-11.378	-7.054	-3
147	ecaresnet26t	68.290	31.710	88.590	11.410	16.01	320	0.950	bicubic	-11.594	-6.482	-16
148	ese_vovnet39b	68.260	31.740	88.230	11.770	24.57	224	0.875	bicubic	-10.946	-6.498	+18
149	regnetx_120	68.160	31.840	87.520	12.480	46.11	224	0.875	bicubic	-11.414	-7.172	0
150	rexnet_130	68.150	31.850	88.090	11.910	7.56	224	0.875	bicubic	-11.366	-6.570	+1
151	ssl_resnet50	68.150	31.850	88.640	11.360	25.56	224	0.875	bilinear	-11.090	-6.274	+10
152	tf_efficientnet_el	68.140	31.860	88.010	11.990	10.59	300	0.904	bicubic	-12.152	-7.110	-36
153	gluon_resnext50_32x4d	68.090	31.910	87.380	12.620	25.03	224	0.875	bicubic	-11.230	-7.120	+4
154	tf_efficientnet_lite3	68.080	31.920	87.790	12.210	8.20	300	0.904	bilinear	-11.678	-7.074	-15
155	gluon_resnet50_v1d	68.070	31.930	86.900	13.100	25.58	224	0.875	bicubic	-11.002	-7.578	+18
156	regnetx_080	68.040	31.960	87.120	12.880	39.57	224	0.875	bicubic	-11.134	-7.436	+11
157	nf_regnet_b1	67.870	32.130	88.070	11.930	10.22	288	0.900	bicubic	-11.454	-6.702	-1
158	legacy_seresnext50_32x4d	67.840	32.160	87.570	12.430	27.56	224	0.875	bilinear	-11.268	-6.908	+12
159	hrnet_w48	67.840	32.160	87.470	12.530	77.47	224	0.875	bilinear	-11.396	-7.052	+4
160	resnext101_32x8d	67.790	32.210	87.410	12.590	88.79	224	0.875	bilinear	-11.420	-7.146	+5
161	efficientnet_em	67.660	32.340	88.040	11.960	6.90	240	0.882	bicubic	-11.570	-6.752	+2
162	regnetx_064	67.660	32.340	87.290	12.710	26.21	224	0.875	bicubic	-11.418	-7.170	+10
163	tf_efficientnet_b0_ns	67.640	32.360	87.950	12.050	5.29	224	0.875	bicubic	-10.960	-6.438	+26
164	legacy_seresnet152	67.630	32.370	87.420	12.580	66.82	224	0.875	bilinear	-11.014	-6.970	+22
165	regnety_040	67.610	32.390	87.480	12.520	20.65	224	0.875	bicubic	-11.606	-7.182	-1
166	res2net50_26w_8s	67.600	32.400	87.150	12.850	48.40	224	0.875	bilinear	-11.530	-7.254	+3
167	dla169	67.560	32.440	87.570	12.430	53.39	224	0.875	bilinear	-11.172	-6.764	+18
168	resnetblur50	67.550	32.450	87.440	12.560	25.56	224	0.875	bicubic	-11.712	-7.182	-9
169	hrnet_w44	67.550	32.450	87.570	12.430	67.06	224	0.875	bilinear	-11.336	-6.840	+11
170	dpn68b	67.540	32.460	87.430	12.570	12.61	224	0.875	bicubic	-11.600	-6.994	-2
171	gluon_inception_v3	67.540	32.460	87.150	12.850	23.83	299	0.875	bicubic	-11.290	-7.248	+11
172	resnetv2_50x1_bitm	67.500	32.500	89.040	10.960	25.55	480	1.000	bilinear	-12.652	-6.604	-48
173	resnet50	67.460	32.540	87.510	12.490	25.56	224	0.875	bicubic	-11.544	-6.882	+2
174	xception	67.440	32.560	87.560	12.440	22.86	299	0.897	bicubic	-11.588	-6.810	0
175	tf_efficientnet_b1_ap	67.430	32.570	87.520	12.480	7.79	240	0.882	bicubic	-11.860	-6.806	-17
176	tf_efficientnet_cc_b1_8e	67.410	32.590	87.270	12.730	39.72	240	0.882	bicubic	-11.878	-7.088	-17
177	gluon_resnet101_v1c	67.400	32.600	87.120	12.880	44.57	224	0.875	bicubic	-12.150	-7.522	-27
178	dpn92	67.390	32.610	87.300	12.700	37.67	224	0.875	bicubic	-12.644	-7.518	-52
179	gluon_resnet101_v1b	67.380	32.620	86.960	13.040	44.55	224	0.875	bicubic	-11.980	-7.548	-24
180	hrnet_w40	67.340	32.660	87.230	12.770	57.56	224	0.875	bilinear	-11.566	-7.204	-2
181	xception41	67.340	32.660	87.190	12.810	26.97	299	0.903	bicubic	-11.156	-7.066	+12
182	res2net101_26w_4s	67.330	32.670	87.240	12.760	45.21	224	0.875	bilinear	-11.790	-7.192	-12
183	efficientnet_b1	67.280	32.720	87.040	12.960	7.79	240	0.875	bicubic	-11.324	-7.054	+4
184	regnetx_032	67.090	32.910	87.050	12.950	15.30	224	0.875	bicubic	-11.058	-7.016	+20
185	dla60_res2net	67.080	32.920	87.020	12.980	20.85	224	0.875	bilinear	-11.442	-7.232	+6
186	dla102x	67.080	32.920	86.730	13.270	26.31	224	0.875	bilinear	-11.448	-7.476	+4
187	resnest26d	67.080	32.920	87.100	12.900	17.07	224	0.875	bilinear	-11.360	-7.196	+9
188	tv_resnet152	67.050	32.950	87.430	12.570	60.19	224	0.875	bilinear	-11.200	-6.552	+13
189	dla60x	67.040	32.960	87.200	12.800	17.35	224	0.875	bilinear	-11.186	-6.788	+13
190	legacy_seresnet101	67.040	32.960	87.120	12.880	49.33	224	0.875	bilinear	-11.380	-7.054	+8
191	mixnet_l	66.980	33.020	86.880	13.120	7.33	224	0.875	bicubic	-11.952	-7.304	-15
192	gluon_resnet50_v1s	66.950	33.050	86.710	13.290	25.68	224	0.875	bicubic	-11.838	-7.530	-8
193	repvgg_b2	66.910	33.090	87.160	12.840	89.02	224	0.875	bilinear	-11.972	-7.186	-13
194	hrnet_w30	66.870	33.130	86.780	13.220	37.71	224	0.875	bilinear	-11.264	-7.412	+11
195	res2net50_26w_6s	66.860	33.140	86.830	13.170	37.05	224	0.875	bilinear	-11.744	-7.334	-7
196	tf_efficientnet_b1	66.860	33.140	86.940	13.060	7.79	240	0.882	bicubic	-11.972	-7.266	-15
197	repvgg_b1	66.750	33.250	86.560	13.440	57.42	224	0.875	bilinear	-11.692	-7.598	-3
198	efficientnet_es	66.750	33.250	86.640	13.360	5.44	224	0.875	bicubic	-11.282	-7.260	+12
199	dla60_res2next	66.740	33.260	87.030	12.970	17.03	224	0.875	bilinear	-11.582	-7.160	0
200	gluon_resnet50_v1c	66.680	33.320	86.120	13.880	25.58	224	0.875	bicubic	-11.246	-7.886	+11
201	hrnet_w32	66.680	33.320	87.370	12.630	41.23	224	0.875	bilinear	-11.744	-6.832	-4
202	wide_resnet101_2	66.660	33.340	87.060	12.940	126.89	224	0.875	bilinear	-12.250	-7.284	-25
203	regnetx_040	66.620	33.380	86.550	13.450	22.12	224	0.875	bicubic	-11.874	-7.720	-9
204	tf_mixnet_l	66.550	33.450	86.530	13.470	7.33	224	0.875	bicubic	-12.252	-7.524	-21
205	dla102	66.530	33.470	86.920	13.080	33.27	224	0.875	bilinear	-11.524	-6.998	+3
206	selecsls60	66.530	33.470	86.400	13.600	30.67	224	0.875	bicubic	-11.384	-7.422	+7
207	selecsls60b	66.440	33.560	86.500	13.500	32.77	224	0.875	bicubic	-12.056	-7.692	-15
208	adv_inception_v3	66.420	33.580	86.370	13.630	23.83	299	0.875	bicubic	-11.142	-7.316	+15
209	tf_inception_v3	66.380	33.620	86.540	13.460	23.83	299	0.875	bicubic	-11.424	-7.184	+8
210	efficientnet_b0	66.150	33.850	86.160	13.840	5.29	224	0.875	bicubic	-11.460	-7.404	+12
211	legacy_seresnet50	66.140	33.860	86.220	13.780	28.09	224	0.875	bilinear	-11.472	-7.576	+10
212	tf_efficientnet_cc_b0_8e	66.130	33.870	86.070	13.930	24.01	224	0.875	bicubic	-11.796	-7.528	0
213	regnety_016	66.070	33.930	86.320	13.680	11.20	224	0.875	bicubic	-11.734	-7.330	+5
214	gluon_resnet50_v1b	66.010	33.990	86.370	13.630	25.56	224	0.875	bicubic	-11.654	-7.304	+5
215	tf_efficientnet_em	65.960	34.040	86.240	13.760	6.90	240	0.882	bicubic	-12.200	-7.806	-12
216	inception_v3	65.940	34.060	86.140	13.860	23.83	299	0.875	bicubic	-11.470	-7.334	+12
217	efficientnet_b1_pruned	65.930	34.070	86.510	13.490	6.33	240	0.882	bicubic	-12.344	-7.298	-17
218	res2net50_26w_4s	65.910	34.090	86.570	13.430	25.70	224	0.875	bilinear	-12.056	-7.260	-8
219	res2net50_14w_8s	65.890	34.110	86.180	13.820	25.06	224	0.875	bilinear	-12.228	-7.656	-13
220	rexnet_100	65.880	34.120	86.530	13.470	4.80	224	0.875	bicubic	-12.006	-7.328	-6
221	skresnet34	65.860	34.140	85.860	14.140	22.28	224	0.875	bicubic	-11.050	-7.412	+21
222	seresnext26t_32x4d	65.790	34.210	85.730	14.270	16.81	224	0.875	bicubic	-12.040	-7.998	-6
223	res2next50	65.780	34.220	85.730	14.270	24.67	224	0.875	bilinear	-12.300	-8.222	-16
224	tv_resnext50_32x4d	65.780	34.220	85.940	14.060	25.03	224	0.875	bilinear	-11.848	-7.740	-4
225	resnet34d	65.720	34.280	86.520	13.480	21.82	224	0.875	bicubic	-11.376	-6.904	+12
226	vit_small_patch16_224	65.690	34.310	86.070	13.930	48.75	224	0.900	bicubic	-12.182	-7.322	-11
227	tv_resnet101	65.680	34.320	86.120	13.880	44.55	224	0.875	bilinear	-11.634	-7.436	+5
228	densenet161	65.660	34.340	86.480	13.520	28.68	224	0.875	bicubic	-11.678	-7.208	+1
229	repvgg_b1g4	65.560	34.440	86.020	13.980	39.97	224	0.875	bilinear	-11.980	-7.774	-5
230	tf_efficientnet_lite2	65.410	34.590	85.950	14.050	6.09	260	0.890	bicubic	-12.030	-7.812	-3
231	selecsls42b	65.390	34.610	85.830	14.170	32.46	224	0.875	bicubic	-11.706	-7.562	+5
232	seresnext26d_32x4d	65.370	34.630	85.930	14.070	16.81	224	0.875	bicubic	-12.148	-7.676	-6
233	densenet201	65.360	34.640	85.620	14.380	20.01	224	0.875	bicubic	-11.960	-7.862	-2
234	densenetblur121d	65.250	34.750	85.820	14.180	8.00	224	0.875	bicubic	-11.224	-7.276	+18
235	res2net50_48w_2s	65.250	34.750	85.900	14.100	25.29	224	0.875	bilinear	-12.268	-7.682	-10
236	gernet_s	65.200	34.800	85.430	14.570	8.17	224	0.875	bilinear	-11.674	-7.698	+7
237	dla60	65.180	34.820	85.580	14.420	22.04	224	0.875	bilinear	-11.744	-7.710	+3
238	ese_vovnet19b_dw	65.120	34.880	85.150	14.850	6.54	224	0.875	bicubic	-11.652	-8.126	+8
239	tf_efficientnet_b0_ap	65.090	34.910	85.470	14.530	5.29	224	0.875	bicubic	-11.982	-7.792	-1
240	mobilenetv2_120d	64.970	35.030	85.820	14.180	5.83	224	0.875	bicubic	-12.358	-7.658	-10
241	hrnet_w18	64.920	35.080	85.710	14.290	21.30	224	0.875	bilinear	-11.912	-7.694	+3
242	tf_efficientnet_cc_b0_4e	64.910	35.090	85.040	14.960	13.31	224	0.875	bicubic	-12.386	-8.320	-9
243	legacy_seresnext26_32x4d	64.770	35.230	85.560	14.440	16.79	224	0.875	bicubic	-12.346	-7.798	-8
244	mixnet_m	64.700	35.300	85.460	14.540	5.01	224	0.875	bicubic	-12.476	-7.966	-10
245	resnet26d	64.660	35.340	85.140	14.860	16.01	224	0.875	bicubic	-11.940	-8.048	+3
246	tf_mixnet_m	64.510	35.490	85.030	14.970	5.01	224	0.875	bicubic	-12.454	-8.182	-7
247	tf_efficientnet_lite1	64.490	35.510	85.610	14.390	5.42	240	0.882	bicubic	-12.138	-7.638	0
248	densenet169	64.350	35.650	85.160	14.840	14.15	224	0.875	bicubic	-11.600	-7.834	+9
249	regnetx_016	64.330	35.670	85.480	14.520	9.19	224	0.875	bicubic	-12.584	-7.892	-8
250	repvgg_a2	64.260	35.740	85.240	14.760	28.21	224	0.875	bilinear	-12.228	-7.782	+1
251	tf_efficientnet_b0	64.200	35.800	85.200	14.800	5.29	224	0.875	bicubic	-12.630	-8.072	-6
252	dpn68	63.870	36.130	85.080	14.920	12.61	224	0.875	bicubic	-12.508	-7.898	+1
253	mobilenetv2_140	63.850	36.150	84.840	15.160	6.11	224	0.875	bicubic	-12.688	-8.104	-3
254	tf_efficientnet_es	63.830	36.170	84.600	15.400	5.44	224	0.875	bicubic	-12.732	-8.584	-5
255	regnety_008	63.780	36.220	85.320	14.680	6.26	224	0.875	bicubic	-12.544	-7.780	-1
256	mixnet_s	63.690	36.310	84.640	15.360	4.13	224	0.875	bicubic	-12.372	-8.186	-1
257	densenet121	63.600	36.400	84.570	15.430	7.98	224	0.875	bicubic	-11.930	-8.046	+5
258	resnet26	63.470	36.530	84.280	15.720	16.00	224	0.875	bicubic	-11.924	-8.304	+8
259	tf_mixnet_s	63.450	36.550	84.240	15.760	4.13	224	0.875	bicubic	-12.208	-8.378	0
260	mobilenetv3_large_100	63.320	36.680	84.090	15.910	5.48	224	0.875	bicubic	-12.390	-8.406	-2
261	resnest14d	63.290	36.710	84.110	15.890	10.61	224	0.875	bilinear	-12.298	-8.378	-1
262	tv_resnet50	63.280	36.720	84.660	15.340	25.56	224	0.875	bilinear	-12.732	-8.274	-6
263	mobilenetv3_rw	63.090	36.910	84.400	15.600	5.48	224	0.875	bicubic	-12.452	-8.276	-2
264	efficientnet_lite0	63.060	36.940	84.450	15.550	4.65	224	0.875	bicubic	-12.384	-8.094	0
265	regnety_006	63.060	36.940	84.100	15.900	6.06	224	0.875	bicubic	-12.146	-8.460	+3
266	semnasnet_100	63.060	36.940	84.300	15.700	3.89	224	0.875	bicubic	-12.366	-8.248	-1
267	resnet34	62.890	37.110	84.110	15.890	21.80	224	0.875	bilinear	-12.206	-8.136	+3
268	legacy_seresnet34	62.800	37.200	84.120	15.880	21.96	224	0.875	bilinear	-12.112	-8.044	+6
269	hrnet_w18_small_v2	62.770	37.230	83.950	16.050	15.60	224	0.875	bilinear	-12.394	-8.480	0
270	vit_deit_tiny_distilled_patch16_224	62.770	37.230	83.830	16.170	5.91	224	0.900	bicubic	-11.724	-8.054	+10
271	regnetx_008	62.760	37.240	83.970	16.030	7.26	224	0.875	bicubic	-12.266	-8.362	+2
272	repvgg_b0	62.670	37.330	83.880	16.120	15.82	224	0.875	bilinear	-12.544	-8.574	-5
273	mobilenetv2_110d	62.650	37.350	84.500	15.500	4.52	224	0.875	bicubic	-12.398	-7.632	-1
274	tv_densenet121	62.610	37.390	83.880	16.120	7.98	224	0.875	bicubic	-12.136	-8.250	+2
275	dla34	62.580	37.420	83.880	16.120	15.74	224	0.875	bilinear	-12.056	-8.242	+3
276	swsl_resnet18	62.560	37.440	84.420	15.580	11.69	224	0.875	bilinear	-10.758	-7.332	+11
277	gluon_resnet34_v1b	62.460	37.540	83.880	16.120	21.80	224	0.875	bicubic	-12.036	-8.128	+2
278	tf_mobilenetv3_large_100	62.400	37.600	83.900	16.100	5.48	224	0.875	bilinear	-13.120	-8.650	-15
279	tf_efficientnet_lite0	62.330	37.670	84.100	15.900	4.65	224	0.875	bicubic	-12.538	-8.030	-4
280	fbnetc_100	62.160	37.840	83.400	16.600	5.57	224	0.875	bilinear	-12.922	-8.954	-9
281	regnety_004	62.070	37.930	83.490	16.510	4.34	224	0.875	bicubic	-11.872	-8.264	+3
282	vgg19_bn	61.870	38.130	83.400	16.600	143.68	224	0.875	bilinear	-12.346	-8.448	-1
283	mnasnet_100	61.790	38.210	83.780	16.220	4.38	224	0.875	bicubic	-12.902	-8.360	-6
284	ssl_resnet18	61.400	38.600	83.310	16.690	11.69	224	0.875	bilinear	-11.092	-8.132	+8
285	regnetx_006	61.280	38.720	83.120	16.880	6.20	224	0.875	bicubic	-12.682	-8.564	-2
286	spnasnet_100	61.200	38.800	82.740	17.260	4.42	224	0.875	bilinear	-12.920	-9.142	-4
287	tv_resnet34	61.010	38.990	82.640	17.360	21.80	224	0.875	bilinear	-12.256	-8.790	+1
288	skresnet18	60.850	39.150	82.840	17.160	11.96	224	0.875	bicubic	-12.150	-8.316	+1
289	vgg16_bn	60.690	39.310	83.060	16.940	138.37	224	0.875	bilinear	-12.786	-8.476	-4
290	tf_mobilenetv3_large_075	60.370	39.630	81.710	18.290	3.99	224	0.875	bilinear	-13.002	-9.694	-4
291	mobilenetv2_100	60.160	39.840	82.140	17.860	3.50	224	0.875	bicubic	-12.796	-8.902	-1
292	resnet18d	59.830	40.170	82.380	17.620	11.71	224	0.875	bicubic	-12.550	-8.330	+1
293	legacy_seresnet18	59.700	40.300	81.630	18.370	11.78	224	0.875	bicubic	-12.052	-8.678	+5
294	vit_deit_tiny_patch16_224	59.700	40.300	82.730	17.270	5.72	224	0.900	bicubic	-12.496	-8.362	+3
295	vgg19	59.570	40.430	81.360	18.640	143.67	224	0.875	bilinear	-12.790	-9.490	-1
296	regnetx_004	59.540	40.460	81.730	18.270	5.16	224	0.875	bicubic	-12.996	-9.112	-5
297	vgg13_bn	59.080	40.920	81.080	18.920	133.05	224	0.875	bilinear	-12.538	-9.280	+3
298	hrnet_w18_small	58.980	41.020	81.260	18.740	13.19	224	0.875	bilinear	-13.296	-9.326	-3
299	tf_mobilenetv3_large_minimal_100	58.980	41.020	80.980	19.020	3.92	224	0.875	bilinear	-13.248	-9.702	-3
300	vgg16	58.550	41.450	81.580	18.420	138.36	224	0.875	bilinear	-13.078	-8.788	-1
301	gluon_resnet18_v1b	58.210	41.790	81.080	18.920	11.69	224	0.875	bicubic	-12.712	-8.690	0
302	resnet18	57.100	42.900	80.100	19.900	11.69	224	0.875	bilinear	-12.544	-8.882	+3
303	vgg13	57.100	42.900	79.600	20.400	133.05	224	0.875	bilinear	-12.884	-9.706	+1
304	vgg11_bn	57.050	42.950	79.830	20.170	132.87	224	0.875	bilinear	-13.358	-9.894	-2
305	regnety_002	56.910	43.090	79.870	20.130	3.16	224	0.875	bicubic	-13.416	-9.686	-2
306	dla60x_c	56.170	43.830	78.880	21.120	1.32	224	0.875	bilinear	-11.782	-9.558	+2
307	regnetx_002	55.900	44.100	79.140	20.860	2.68	224	0.875	bicubic	-12.930	-9.370	0
308	vgg11	55.800	44.200	78.650	21.350	132.86	224	0.875	bilinear	-13.072	-10.008	-2
309	tf_mobilenetv3_small_100	54.360	45.640	77.000	23.000	2.54	224	0.875	bilinear	-13.516	-10.682	0
310	dla46x_c	53.030	46.970	76.730	23.270	1.07	224	0.875	bilinear	-12.900	-10.274	0
311	tf_mobilenetv3_small_075	52.220	47.780	75.460	24.540	2.04	224	0.875	bilinear	-13.512	-10.708	0
312	dla46_c	51.980	48.020	75.560	24.440	1.30	224	0.875	bilinear	-12.950	-10.748	0
313	tf_mobilenetv3_small_minimal_100	49.370	50.630	72.840	27.160	2.04	224	0.875	bilinear	-13.374	-11.540	0