pytorch-image-models/results/results-imagenetv2-matched-frequency.csv

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	tf_efficientnet_l2_ns_475	80.47	19.53	95.73	4.27	480.31	475	0.936	bicubic
3	tf_efficientnet_l2_ns	80.25	19.75	95.85	4.15	480.31	800	0.96	bicubic
4	tf_efficientnet_b7_ns	78.52	21.48	94.37	5.63	66.35	600	0.949	bicubic
5	tf_efficientnet_b6_ns	77.28	22.72	93.89	6.11	43.04	528	0.942	bicubic
6	ig_resnext101_32x48d	76.87	23.13	93.32	6.68	828.41	224	0.875	bilinear
7	ig_resnext101_32x32d	76.84	23.16	93.19	6.81	468.53	224	0.875	bilinear
8	tf_efficientnet_b5_ns	76.82	23.18	93.58	6.42	30.39	456	0.934	bicubic
9	tf_efficientnet_b7_ap	76.09	23.91	92.97	7.03	66.35	600	0.949	bicubic
10	tf_efficientnet_b8_ap	76.09	23.91	92.73	7.27	87.41	672	0.954	bicubic
11	ig_resnext101_32x16d	75.71	24.29	92.9	7.1	194.03	224	0.875	bilinear
12	tf_efficientnet_b4_ns	75.69	24.31	93.04	6.96	19.34	380	0.922	bicubic
13	swsl_resnext101_32x8d	75.45	24.55	92.75	7.25	88.79	224	0.875	bilinear
14	tf_efficientnet_b6_ap	75.38	24.62	92.44	7.56	43.04	528	0.942	bicubic
15	tf_efficientnet_b8	74.93	25.07	92.32	7.68	87.41	672	0.954	bicubic
16	tf_efficientnet_b7	74.72	25.28	92.22	7.78	66.35	600	0.949	bicubic
17	tf_efficientnet_b5_ap	74.59	25.41	91.99	8.01	30.39	456	0.934	bicubic
18	swsl_resnext101_32x4d	74.15	25.85	91.99	8.01	44.18	224	0.875	bilinear
19	swsl_resnext101_32x16d	74.01	25.99	92.17	7.83	194.03	224	0.875	bilinear
20	resnest200e	73.93	26.07	91.58	8.42	70.2	320	0.875	bilinear
21	tf_efficientnet_b6	73.9	26.1	91.75	8.25	43.04	528	0.942	bicubic
22	tf_efficientnet_b3_ns	73.87	26.13	91.86	8.14	12.23	300	0.904	bicubic
23	ig_resnext101_32x8d	73.66	26.34	92.15	7.85	88.79	224	0.875	bilinear
24	tf_efficientnet_b5	73.54	26.46	91.46	8.54	30.39	456	0.934	bicubic
25	resnest269e	73.46	26.54	91.68	8.32	110.93	416	0.875	bilinear
26	tf_efficientnet_b4_ap	72.89	27.11	90.98	9.02	19.34	380	0.922	bicubic
27	swsl_resnext50_32x4d	72.58	27.42	90.84	9.16	25.03	224	0.875	bilinear
28	resnest101e	72.55	27.45	90.81	9.19	48.28	256	0.875	bilinear
29	tresnet_xl_448	72.55	27.45	90.31	9.69	78.44	448	0.875	bilinear
30	pnasnet5large	72.37	27.63	90.26	9.74	86.06	331	0.875	bicubic
31	nasnetalarge	72.31	27.69	90.51	9.49	88.75	331	0.875	bicubic
32	tf_efficientnet_b4	72.28	27.72	90.6	9.4	19.34	380	0.922	bicubic
33	tf_efficientnet_b2_ns	72.27	27.73	91.09	8.91	9.11	260	0.89	bicubic
34	swsl_resnet50	71.69	28.31	90.51	9.49	25.56	224	0.875	bilinear
35	tresnet_xl	71.65	28.35	89.63	10.37	78.44	224	0.875	bilinear
36	tresnet_l_448	71.6	28.4	90.06	9.94	55.99	448	0.875	bilinear
37	ecaresnet101d	71.5	28.5	90.31	9.69	44.57	224	0.875	bicubic
38	ssl_resnext101_32x8d	71.49	28.51	90.47	9.53	88.79	224	0.875	bilinear
39	ssl_resnext101_32x16d	71.4	28.6	90.55	9.45	194.03	224	0.875	bilinear
40	tresnet_m_448	71.0	29.0	88.68	11.32	31.39	448	0.875	bilinear
41	resnest50d_4s2x40d	70.94	29.06	89.71	10.29	30.42	224	0.875	bicubic
42	tf_efficientnet_b3_ap	70.92	29.08	89.43	10.57	12.23	300	0.904	bicubic
43	efficientnet_b3a	70.87	29.13	89.72	10.28	12.23	320	1.0	bicubic
44	tf_efficientnet_b1_ns	70.85	29.15	90.11	9.89	7.79	240	0.882	bicubic
45	tresnet_l	70.83	29.17	89.61	10.39	55.99	224	0.875	bilinear
46	efficientnet_b3	70.76	29.24	89.84	10.16	12.23	300	0.904	bicubic
47	tf_efficientnet_b3	70.62	29.38	89.44	10.56	12.23	300	0.904	bicubic
48	gluon_senet154	70.6	29.4	88.92	11.08	115.09	224	0.875	bicubic
49	ssl_resnext101_32x4d	70.5	29.5	89.76	10.24	44.18	224	0.875	bilinear
50	senet154	70.48	29.52	88.99	11.01	115.09	224	0.875	bilinear
51	gluon_seresnext101_64x4d	70.44	29.56	89.35	10.65	88.23	224	0.875	bicubic
52	resnest50d_1s4x24d	70.43	29.57	89.24	10.76	25.68	224	0.875	bicubic
53	tf_efficientnet_lite4	70.43	29.57	89.12	10.88	13.01	380	0.92	bilinear
54	resnest50d	70.42	29.58	88.76	11.24	27.48	224	0.875	bilinear
55	gluon_resnet152_v1s	70.32	29.68	88.87	11.13	60.32	224	0.875	bicubic
56	ecaresnet101d_pruned	70.12	29.88	89.58	10.42	24.88	224	0.875	bicubic
57	inception_resnet_v2	70.12	29.88	88.68	11.32	55.84	299	0.8975	bicubic
58	gluon_seresnext101_32x4d	70.01	29.99	88.91	11.09	48.96	224	0.875	bicubic
59	gluon_resnet152_v1d	69.95	30.05	88.47	11.53	60.21	224	0.875	bicubic
60	ecaresnet50d	69.83	30.17	89.37	10.63	25.58	224	0.875	bicubic
61	gluon_resnext101_64x4d	69.69	30.31	88.26	11.74	83.46	224	0.875	bicubic
62	ssl_resnext50_32x4d	69.69	30.31	89.42	10.58	25.03	224	0.875	bilinear
63	tresnet_m	69.65	30.35	88.0	12.0	31.39	224	0.875	bilinear
64	efficientnet_b3_pruned	69.58	30.42	88.97	11.03	9.86	300	0.904	bicubic
65	ens_adv_inception_resnet_v2	69.52	30.48	88.5	11.5	55.84	299	0.8975	bicubic
66	efficientnet_b2a	69.49	30.51	88.68	11.32	9.11	288	1.0	bicubic
67	inception_v4	69.35	30.65	88.78	11.22	42.68	299	0.875	bicubic
68	seresnext101_32x4d	69.34	30.66	88.05	11.95	48.96	224	0.875	bilinear
69	ecaresnetlight	69.33	30.67	89.22	10.78	30.16	224	0.875	bicubic
70	gluon_resnet152_v1c	69.13	30.87	87.89	12.11	60.21	224	0.875	bicubic
71	mixnet_xl	69.08	30.92	88.31	11.69	11.9	224	0.875	bicubic
72	efficientnet_b2	69.0	31.0	88.62	11.38	9.11	260	0.875	bicubic
73	gluon_resnet101_v1d	68.99	31.01	88.08	11.92	44.57	224	0.875	bicubic
74	gluon_xception65	68.98	31.02	88.32	11.68	39.92	299	0.875	bicubic
75	gluon_resnext101_32x4d	68.96	31.04	88.34	11.66	44.18	224	0.875	bicubic
76	tf_efficientnet_b2_ap	68.93	31.07	88.34	11.66	9.11	260	0.89	bicubic
77	gluon_resnet152_v1b	68.81	31.19	87.71	12.29	60.19	224	0.875	bicubic
78	dpn131	68.76	31.24	87.48	12.52	79.25	224	0.875	bicubic
79	resnext50d_32x4d	68.75	31.25	88.31	11.69	25.05	224	0.875	bicubic
80	tf_efficientnet_b2	68.75	31.25	87.95	12.05	9.11	260	0.89	bicubic
81	gluon_resnet101_v1s	68.72	31.28	87.9	12.1	44.67	224	0.875	bicubic
82	dpn107	68.71	31.29	88.13	11.87	86.92	224	0.875	bicubic
83	gluon_seresnext50_32x4d	68.67	31.33	88.32	11.68	27.56	224	0.875	bicubic
84	hrnet_w64	68.63	31.37	88.07	11.93	128.06	224	0.875	bilinear
85	resnext50_32x4d	68.61	31.39	87.57	12.43	25.03	224	0.875	bicubic
86	dpn98	68.58	31.42	87.66	12.34	61.57	224	0.875	bicubic
87	ssl_resnet50	68.42	31.58	88.58	11.42	25.56	224	0.875	bilinear
88	ecaresnet50d_pruned	68.39	31.61	88.37	11.63	19.94	224	0.875	bicubic
89	skresnext50_32x4d	68.39	31.61	87.59	12.41	27.48	224	0.875	bicubic
90	dla102x2	68.34	31.66	87.87	12.13	41.75	224	0.875	bilinear
91	efficientnet_b2_pruned	68.3	31.7	88.1	11.9	8.31	260	0.89	bicubic
92	gluon_resnext50_32x4d	68.28	31.72	87.32	12.68	25.03	224	0.875	bicubic
93	tf_efficientnet_lite3	68.23	31.77	87.72	12.28	8.2	300	0.904	bilinear
94	ese_vovnet39b	68.19	31.81	88.26	11.74	24.57	224	0.875	bicubic
95	tf_efficientnet_el	68.18	31.82	88.35	11.65	10.59	300	0.904	bicubic
96	dpn92	68.01	31.99	87.59	12.41	37.67	224	0.875	bicubic
97	gluon_resnet50_v1d	67.91	32.09	87.12	12.88	25.58	224	0.875	bicubic
98	seresnext50_32x4d	67.87	32.13	87.62	12.38	27.56	224	0.875	bilinear
99	resnext101_32x8d	67.85	32.15	87.48	12.52	88.79	224	0.875	bilinear
100	hrnet_w44	67.77	32.23	87.53	12.47	67.06	224	0.875	bilinear
101	hrnet_w48	67.77	32.23	87.42	12.58	77.47	224	0.875	bilinear
102	tf_efficientnet_b0_ns	67.72	32.28	88.08	11.92	5.29	224	0.875	bicubic
103	xception	67.67	32.33	87.57	12.43	22.86	299	0.8975	bicubic
104	dla169	67.61	32.39	87.56	12.44	53.99	224	0.875	bilinear
105	gluon_inception_v3	67.59	32.41	87.46	12.54	23.83	299	0.875	bicubic
106	hrnet_w40	67.59	32.41	87.13	12.87	57.56	224	0.875	bilinear
107	gluon_resnet101_v1c	67.56	32.44	87.16	12.84	44.57	224	0.875	bicubic
108	seresnet152	67.55	32.45	87.39	12.61	66.82	224	0.875	bilinear
109	res2net50_26w_8s	67.53	32.47	87.27	12.73	48.4	224	0.875	bilinear
110	tf_efficientnet_b1_ap	67.52	32.48	87.77	12.23	7.79	240	0.882	bicubic
111	tf_efficientnet_cc_b1_8e	67.48	32.52	87.31	12.69	39.72	240	0.882	bicubic
112	gluon_resnet101_v1b	67.45	32.55	87.23	12.77	44.55	224	0.875	bicubic
113	res2net101_26w_4s	67.45	32.55	87.01	12.99	45.21	224	0.875	bilinear
114	resnet50	67.44	32.56	87.42	12.58	25.56	224	0.875	bicubic
115	resnetblur50	67.44	32.56	87.43	12.57	25.56	224	0.875	bicubic
116	resnest26d	67.21	32.79	87.18	12.82	17.07	224	0.875	bilinear
117	efficientnet_b1	67.16	32.84	87.15	12.85	7.79	240	0.875	bicubic
118	seresnet101	67.15	32.85	87.05	12.95	49.33	224	0.875	bilinear
119	gluon_resnet50_v1s	67.1	32.9	86.86	13.14	25.68	224	0.875	bicubic
120	dla60x	67.08	32.92	87.17	12.83	17.65	224	0.875	bilinear
121	dla60_res2net	67.03	32.97	87.14	12.86	21.15	224	0.875	bilinear
122	resnet152	67.02	32.98	87.57	12.43	60.19	224	0.875	bilinear
123	dla102x	67.0	33.0	86.77	13.23	26.77	224	0.875	bilinear
124	mixnet_l	66.97	33.03	86.94	13.06	7.33	224	0.875	bicubic
125	res2net50_26w_6s	66.91	33.09	86.9	13.1	37.05	224	0.875	bilinear
126	efficientnet_es	66.89	33.11	86.73	13.27	5.44	224	0.875	bicubic
127	tf_efficientnet_b1	66.89	33.11	87.04	12.96	7.79	240	0.882	bicubic
128	tf_efficientnet_em	66.87	33.13	86.98	13.02	6.9	240	0.882	bicubic
129	hrnet_w32	66.79	33.21	87.29	12.71	41.23	224	0.875	bilinear
130	tf_mixnet_l	66.78	33.22	86.46	13.54	7.33	224	0.875	bicubic
131	hrnet_w30	66.76	33.24	86.79	13.21	37.71	224	0.875	bilinear
132	selecsls60b	66.72	33.28	86.54	13.46	32.77	224	0.875	bicubic
133	wide_resnet101_2	66.68	33.32	87.04	12.96	126.89	224	0.875	bilinear
134	wide_resnet50_2	66.65	33.35	86.81	13.19	68.88	224	0.875	bilinear
135	dla60_res2next	66.64	33.36	87.02	12.98	17.33	224	0.875	bilinear
136	adv_inception_v3	66.6	33.4	86.56	13.44	23.83	299	0.875	bicubic
137	dla102	66.55	33.45	86.91	13.09	33.73	224	0.875	bilinear
138	gluon_resnet50_v1c	66.54	33.46	86.16	13.84	25.58	224	0.875	bicubic
139	tf_inception_v3	66.42	33.58	86.68	13.32	23.83	299	0.875	bicubic
140	efficientnet_b0	66.25	33.75	85.95	14.05	5.29	224	0.875	bicubic
141	seresnet50	66.24	33.76	86.33	13.67	28.09	224	0.875	bilinear
142	selecsls60	66.22	33.78	86.33	13.67	30.67	224	0.875	bicubic
143	tf_efficientnet_cc_b0_8e	66.21	33.79	86.22	13.78	24.01	224	0.875	bicubic
144	tv_resnext50_32x4d	66.18	33.82	86.04	13.96	25.03	224	0.875	bilinear
145	res2net50_26w_4s	66.17	33.83	86.6	13.4	25.7	224	0.875	bilinear
146	inception_v3	66.12	33.88	86.34	13.66	23.83	299	0.875	bicubic
147	efficientnet_b1_pruned	66.08	33.92	86.58	13.42	6.33	240	0.882	bicubic
148	gluon_resnet50_v1b	66.04	33.96	86.27	13.73	25.56	224	0.875	bicubic
149	res2net50_14w_8s	66.02	33.98	86.24	13.76	25.06	224	0.875	bilinear
150	densenet161	65.85	34.15	86.46	13.54	28.68	224	0.875	bicubic
151	res2next50	65.85	34.15	85.83	14.17	24.67	224	0.875	bilinear
152	seresnext26tn_32x4d	65.85	34.15	85.68	14.32	16.81	224	0.875	bicubic
153	skresnet34	65.77	34.23	85.96	14.04	22.28	224	0.875	bicubic
154	resnet101	65.68	34.32	85.98	14.02	44.55	224	0.875	bilinear
155	dpn68b	65.6	34.4	85.94	14.06	12.61	224	0.875	bicubic
156	seresnext26t_32x4d	65.6	34.4	86.09	13.91	16.82	224	0.875	bicubic
157	selecsls42b	65.59	34.41	85.83	14.17	32.46	224	0.875	bicubic
158	tf_efficientnet_b0_ap	65.49	34.51	85.55	14.45	5.29	224	0.875	bicubic
159	seresnext26d_32x4d	65.42	34.58	85.97	14.03	16.81	224	0.875	bicubic
160	tf_efficientnet_lite2	65.39	34.61	86.03	13.97	6.09	260	0.89	bicubic
161	res2net50_48w_2s	65.32	34.68	85.96	14.04	25.29	224	0.875	bilinear
162	densenetblur121d	65.3	34.7	85.71	14.29	8.0	224	0.875	bicubic
163	densenet201	65.28	34.72	85.67	14.33	20.01	224	0.875	bicubic
164	tf_efficientnet_es	65.24	34.76	85.54	14.46	5.44	224	0.875	bicubic
165	dla60	65.22	34.78	85.75	14.25	22.33	224	0.875	bilinear
166	tf_efficientnet_cc_b0_4e	65.13	34.87	85.13	14.87	13.31	224	0.875	bicubic
167	mobilenetv2_120d	65.04	34.96	85.99	14.01	5.83	224	0.875	bicubic
168	seresnext26_32x4d	65.04	34.96	85.65	14.35	16.79	224	0.875	bicubic
169	hrnet_w18	64.91	35.09	85.75	14.25	21.3	224	0.875	bilinear
170	densenet169	64.78	35.22	85.25	14.75	14.15	224	0.875	bicubic
171	mixnet_m	64.69	35.31	85.47	14.53	5.01	224	0.875	bicubic
172	resnet26d	64.63	35.37	85.12	14.88	16.01	224	0.875	bicubic
173	tf_efficientnet_lite1	64.37	35.63	85.49	14.51	5.42	240	0.882	bicubic
174	tf_efficientnet_b0	64.29	35.71	85.25	14.75	5.29	224	0.875	bicubic
175	tf_mixnet_m	64.27	35.73	85.09	14.91	5.01	224	0.875	bicubic
176	dpn68	64.22	35.78	85.18	14.82	12.61	224	0.875	bicubic
177	mobilenetv2_140	64.05	35.95	85.02	14.98	6.11	224	0.875	bicubic
178	densenet121	63.74	36.26	84.63	15.37	7.98	224	0.875	bicubic
179	resnest14d	63.6	36.4	84.22	15.78	10.61	224	0.875	bilinear
180	tf_mixnet_s	63.59	36.41	84.27	15.73	4.13	224	0.875	bicubic
181	resnet26	63.45	36.55	84.27	15.73	16.0	224	0.875	bicubic
182	mixnet_s	63.38	36.62	84.71	15.29	4.13	224	0.875	bicubic
183	mobilenetv3_large_100	63.36	36.64	84.08	15.92	5.48	224	0.875	bicubic
184	tv_resnet50	63.33	36.67	84.65	15.35	25.56	224	0.875	bilinear
185	mobilenetv3_rw	63.23	36.77	84.52	15.48	5.48	224	0.875	bicubic
186	semnasnet_100	63.12	36.88	84.53	15.47	3.89	224	0.875	bicubic
187	tv_densenet121	62.94	37.06	84.26	15.74	7.98	224	0.875	bicubic
188	seresnet34	62.89	37.11	84.22	15.78	21.96	224	0.875	bilinear
189	hrnet_w18_small_v2	62.83	37.17	83.97	16.03	15.6	224	0.875	bilinear
190	mobilenetv2_110d	62.82	37.18	84.48	15.52	4.52	224	0.875	bicubic
191	resnet34	62.82	37.18	84.12	15.88	21.8	224	0.875	bilinear
192	swsl_resnet18	62.73	37.27	84.3	15.7	11.69	224	0.875	bilinear
193	tf_efficientnet_lite0	62.58	37.42	84.25	15.75	4.65	224	0.875	bicubic
194	gluon_resnet34_v1b	62.56	37.44	84.0	16.0	21.8	224	0.875	bicubic
195	dla34	62.51	37.49	83.92	16.08	15.78	224	0.875	bilinear
196	tf_mobilenetv3_large_100	62.47	37.53	83.96	16.04	5.48	224	0.875	bilinear
197	fbnetc_100	62.43	37.57	83.39	16.61	5.57	224	0.875	bilinear
198	mnasnet_100	61.91	38.09	83.71	16.29	4.38	224	0.875	bicubic
199	ssl_resnet18	61.49	38.51	83.33	16.67	11.69	224	0.875	bilinear
200	spnasnet_100	61.21	38.79	82.77	17.23	4.42	224	0.875	bilinear
201	tv_resnet34	61.2	38.8	82.72	17.28	21.8	224	0.875	bilinear
202	skresnet18	60.85	39.15	82.88	17.12	11.96	224	0.875	bicubic
203	tf_mobilenetv3_large_075	60.38	39.62	81.96	18.04	3.99	224	0.875	bilinear
204	mobilenetv2_100	60.16	39.84	82.24	17.76	3.5	224	0.875	bicubic
205	seresnet18	59.81	40.19	81.68	18.32	11.78	224	0.875	bicubic
206	tf_mobilenetv3_large_minimal_100	59.07	40.93	81.14	18.86	3.92	224	0.875	bilinear
207	hrnet_w18_small	58.97	41.03	81.34	18.66	13.19	224	0.875	bilinear
208	gluon_resnet18_v1b	58.32	41.68	80.96	19.04	11.69	224	0.875	bicubic
209	resnet18	57.18	42.82	80.19	19.81	11.69	224	0.875	bilinear
210	dla60x_c	56.02	43.98	78.96	21.04	1.34	224	0.875	bilinear
211	tf_mobilenetv3_small_100	54.51	45.49	77.08	22.92	2.54	224	0.875	bilinear
212	dla46x_c	53.08	46.92	76.84	23.16	1.08	224	0.875	bilinear
213	dla46_c	52.2	47.8	75.68	24.32	1.31	224	0.875	bilinear
214	tf_mobilenetv3_small_075	52.15	47.85	75.46	24.54	2.04	224	0.875	bilinear
215	tf_mobilenetv3_small_minimal_100	49.53	50.47	73.05	26.95	2.04	224	0.875	bilinear