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	ig_resnext101_32x48d	76.87	23.13	93.31	6.69	828.41	224	0.875	bilinear
3	ig_resnext101_32x32d	76.84	23.16	93.2	6.8	468.53	224	0.875	bilinear
4	tf_efficientnet_b7_ap	76.09	23.91	92.97	7.03	66.35	600	0.949	bicubic
5	tf_efficientnet_b8_ap	76.09	23.91	92.73	7.27	87.41	672	0.954	bicubic
6	ig_resnext101_32x16d	75.72	24.28	92.91	7.09	194.03	224	0.875	bilinear
7	swsl_resnext101_32x8d	75.43	24.57	92.76	7.24	88.79	224	0.875	bilinear
8	tf_efficientnet_b6_ap	75.38	24.62	92.44	7.56	43.04	528	0.942	bicubic
9	tf_efficientnet_b8	74.94	25.06	92.31	7.69	87.41	672	0.954	bicubic
10	tf_efficientnet_b7	74.72	25.28	92.22	7.78	66.35	600	0.949	bicubic
11	tf_efficientnet_b5_ap	74.6	25.4	91.99	8.01	30.39	456	0.934	bicubic
12	swsl_resnext101_32x4d	74.14	25.86	91.99	8.01	44.18	224	0.875	bilinear
13	swsl_resnext101_32x16d	74.02	25.98	92.16	7.84	194.03	224	0.875	bilinear
14	tf_efficientnet_b6	73.9	26.1	91.75	8.25	43.04	528	0.942	bicubic
15	ig_resnext101_32x8d	73.65	26.35	92.19	7.81	88.79	224	0.875	bilinear
16	tf_efficientnet_b5	73.55	26.45	91.46	8.54	30.39	456	0.934	bicubic
17	tf_efficientnet_b4_ap	72.89	27.11	90.98	9.02	19.34	380	0.922	bicubic
18	swsl_resnext50_32x4d	72.56	27.44	90.87	9.13	25.03	224	0.875	bilinear
19	pnasnet5large	72.38	27.62	90.24	9.76	86.06	331	0.875	bicubic
20	nasnetalarge	72.32	27.68	90.53	9.47	88.75	331	0.875	bicubic
21	tf_efficientnet_b4	72.29	27.71	90.59	9.41	19.34	380	0.922	bicubic
22	swsl_resnet50	71.7	28.3	90.5	9.5	25.56	224	0.875	bilinear
23	ssl_resnext101_32x8d	71.5	28.5	90.46	9.54	88.79	224	0.875	bilinear
24	ssl_resnext101_32x16d	71.41	28.59	90.56	9.44	194.03	224	0.875	bilinear
25	tf_efficientnet_b3_ap	70.92	29.08	89.43	10.57	12.23	300	0.904	bicubic
26	efficientnet_b3a	70.87	29.13	89.72	10.28	12.23	320	1.0	bicubic
27	efficientnet_b3	70.76	29.24	89.85	10.15	12.23	300	0.904	bicubic
28	tf_efficientnet_b3	70.64	29.36	89.44	10.56	12.23	300	0.904	bicubic
29	gluon_senet154	70.6	29.4	88.92	11.08	115.09	224	0.875	bicubic
30	ssl_resnext101_32x4d	70.53	29.47	89.76	10.24	44.18	224	0.875	bilinear
31	senet154	70.5	29.5	89.01	10.99	115.09	224	0.875	bilinear
32	gluon_seresnext101_64x4d	70.43	29.57	89.35	10.65	88.23	224	0.875	bicubic
33	gluon_resnet152_v1s	70.29	29.71	88.85	11.15	60.32	224	0.875	bicubic
34	inception_resnet_v2	70.12	29.88	88.69	11.31	55.84	299	0.8975	bicubic
35	gluon_seresnext101_32x4d	70.01	29.99	88.9	11.1	48.96	224	0.875	bicubic
36	gluon_resnet152_v1d	69.96	30.04	88.49	11.51	60.21	224	0.875	bicubic
37	ssl_resnext50_32x4d	69.71	30.29	89.44	10.56	25.03	224	0.875	bilinear
38	gluon_resnext101_64x4d	69.68	30.32	88.27	11.73	83.46	224	0.875	bicubic
39	ens_adv_inception_resnet_v2	69.52	30.48	88.51	11.49	55.84	299	0.8975	bicubic
40	efficientnet_b2a	69.5	30.5	88.68	11.32	9.11	288	1.0	bicubic
41	inception_v4	69.36	30.64	88.78	11.22	42.68	299	0.875	bicubic
42	seresnext101_32x4d	69.36	30.64	88.07	11.93	48.96	224	0.875	bilinear
43	gluon_resnet152_v1c	69.14	30.86	87.87	12.13	60.21	224	0.875	bicubic
44	mixnet_xl	69.1	30.9	88.31	11.69	11.9	224	0.875	bicubic
45	gluon_resnet101_v1d	69.01	30.99	88.1	11.9	44.57	224	0.875	bicubic
46	efficientnet_b2	68.97	31.03	88.63	11.37	9.11	260	0.875	bicubic
47	gluon_resnext101_32x4d	68.96	31.04	88.36	11.64	44.18	224	0.875	bicubic
48	gluon_xception65	68.92	31.08	88.33	11.67	39.92	299	0.875	bicubic
49	tf_efficientnet_b2_ap	68.92	31.08	88.35	11.65	9.11	260	0.89	bicubic
50	gluon_resnet152_v1b	68.82	31.18	87.71	12.29	60.19	224	0.875	bicubic
51	dpn131	68.77	31.23	87.47	12.53	79.25	224	0.875	bicubic
52	tf_efficientnet_b2	68.75	31.25	87.99	12.01	9.11	260	0.89	bicubic
53	resnext50d_32x4d	68.74	31.26	88.3	11.7	25.05	224	0.875	bicubic
54	gluon_resnet101_v1s	68.71	31.29	87.91	12.09	44.67	224	0.875	bicubic
55	dpn107	68.69	31.31	88.13	11.87	86.92	224	0.875	bicubic
56	gluon_seresnext50_32x4d	68.67	31.33	88.31	11.69	27.56	224	0.875	bicubic
57	hrnet_w64	68.64	31.36	88.05	11.95	128.06	224	0.875	bilinear
58	dpn98	68.59	31.41	87.68	12.32	61.57	224	0.875	bicubic
59	ssl_resnet50	68.41	31.59	88.56	11.44	25.56	224	0.875	bilinear
60	dla102x2	68.33	31.67	87.89	12.11	41.75	224	0.875	bilinear
61	gluon_resnext50_32x4d	68.31	31.69	87.3	12.7	25.03	224	0.875	bicubic
62	tf_efficientnet_el	68.18	31.82	88.35	11.65	10.59	300	0.904	bicubic
63	dpn92	67.99	32.01	87.58	12.42	37.67	224	0.875	bicubic
64	gluon_resnet50_v1d	67.94	32.06	87.13	12.87	25.58	224	0.875	bicubic
65	resnext101_32x8d	67.86	32.14	87.49	12.51	88.79	224	0.875	bilinear
66	seresnext50_32x4d	67.84	32.16	87.62	12.38	27.56	224	0.875	bilinear
67	hrnet_w48	67.77	32.23	87.42	12.58	77.47	224	0.875	bilinear
68	hrnet_w44	67.74	32.26	87.56	12.44	67.06	224	0.875	bilinear
69	xception	67.65	32.35	87.57	12.43	22.86	299	0.8975	bicubic
70	dla169	67.61	32.39	87.59	12.41	53.99	224	0.875	bilinear
71	gluon_inception_v3	67.59	32.41	87.47	12.53	23.83	299	0.875	bicubic
72	gluon_resnet101_v1c	67.58	32.42	87.18	12.82	44.57	224	0.875	bicubic
73	res2net50_26w_8s	67.57	32.43	87.28	12.72	48.4	224	0.875	bilinear
74	hrnet_w40	67.56	32.44	87.14	12.86	57.56	224	0.875	bilinear
75	seresnet152	67.52	32.48	87.39	12.61	66.82	224	0.875	bilinear
76	tf_efficientnet_b1_ap	67.52	32.48	87.76	12.24	7.79	240	0.882	bicubic
77	gluon_resnet101_v1b	67.46	32.54	87.24	12.76	44.55	224	0.875	bicubic
78	tf_efficientnet_cc_b1_8e	67.45	32.55	87.31	12.69	39.72	240	0.882	bicubic
79	res2net101_26w_4s	67.44	32.56	87.01	12.99	45.21	224	0.875	bilinear
80	resnet50	67.44	32.56	87.42	12.58	25.56	224	0.875	bicubic
81	efficientnet_b1	67.17	32.83	87.15	12.85	7.79	240	0.875	bicubic
82	seresnet101	67.16	32.84	87.06	12.94	49.33	224	0.875	bilinear
83	dla60x	67.1	32.9	87.19	12.81	17.65	224	0.875	bilinear
84	gluon_resnet50_v1s	67.06	32.94	86.86	13.14	25.68	224	0.875	bicubic
85	resnet152	67.05	32.95	87.55	12.45	60.19	224	0.875	bilinear
86	dla60_res2net	67.02	32.98	87.16	12.84	21.15	224	0.875	bilinear
87	dla102x	67.01	32.99	86.77	13.23	26.77	224	0.875	bilinear
88	mixnet_l	66.94	33.06	86.91	13.09	7.33	224	0.875	bicubic
89	res2net50_26w_6s	66.91	33.09	86.86	13.14	37.05	224	0.875	bilinear
90	tf_efficientnet_b1	66.88	33.12	87.01	12.99	7.79	240	0.882	bicubic
91	tf_efficientnet_em	66.88	33.12	86.97	13.03	6.9	240	0.882	bicubic
92	resnext50_32x4d	66.87	33.13	86.34	13.66	25.03	224	0.875	bicubic
93	hrnet_w30	66.78	33.22	86.8	13.2	37.71	224	0.875	bilinear
94	tf_mixnet_l	66.78	33.22	86.47	13.53	7.33	224	0.875	bicubic
95	selecsls60b	66.76	33.24	86.53	13.47	32.77	224	0.875	bicubic
96	hrnet_w32	66.75	33.25	87.3	12.7	41.23	224	0.875	bilinear
97	wide_resnet101_2	66.73	33.27	87.03	12.97	126.89	224	0.875	bilinear
98	adv_inception_v3	66.65	33.35	86.53	13.47	23.83	299	0.875	bicubic
99	wide_resnet50_2	66.65	33.35	86.8	13.2	68.88	224	0.875	bilinear
100	dla60_res2next	66.64	33.36	87.03	12.97	17.33	224	0.875	bilinear
101	gluon_resnet50_v1c	66.56	33.44	86.18	13.82	25.58	224	0.875	bicubic
102	dla102	66.54	33.46	86.91	13.09	33.73	224	0.875	bilinear
103	tf_inception_v3	66.41	33.59	86.66	13.34	23.83	299	0.875	bicubic
104	efficientnet_b0	66.29	33.71	85.96	14.04	5.29	224	0.875	bicubic
105	seresnet50	66.25	33.75	86.33	13.67	28.09	224	0.875	bilinear
106	selecsls60	66.21	33.79	86.34	13.66	30.67	224	0.875	bicubic
107	tv_resnext50_32x4d	66.18	33.82	86.04	13.96	25.03	224	0.875	bilinear
108	tf_efficientnet_cc_b0_8e	66.17	33.83	86.24	13.76	24.01	224	0.875	bicubic
109	inception_v3	66.15	33.85	86.33	13.67	27.16	299	0.875	bicubic
110	res2net50_26w_4s	66.14	33.86	86.6	13.4	25.7	224	0.875	bilinear
111	gluon_resnet50_v1b	66.07	33.93	86.26	13.74	25.56	224	0.875	bicubic
112	res2net50_14w_8s	66.02	33.98	86.25	13.75	25.06	224	0.875	bilinear
113	seresnext26tn_32x4d	65.88	34.12	85.68	14.32	16.81	224	0.875	bicubic
114	res2next50	65.85	34.15	85.84	14.16	24.67	224	0.875	bilinear
115	densenet161	65.84	34.16	86.45	13.55	28.68	224	0.875	bicubic
116	resnet101	65.69	34.31	85.98	14.02	44.55	224	0.875	bilinear
117	selecsls42b	65.61	34.39	85.81	14.19	32.46	224	0.875	bicubic
118	seresnext26t_32x4d	65.6	34.4	86.08	13.92	16.82	224	0.875	bicubic
119	dpn68b	65.57	34.43	85.93	14.07	12.61	224	0.875	bicubic
120	tf_efficientnet_b0_ap	65.49	34.51	85.58	14.42	5.29	224	0.875	bicubic
121	seresnext26d_32x4d	65.41	34.59	85.97	14.03	16.81	224	0.875	bicubic
122	res2net50_48w_2s	65.35	34.65	85.96	14.04	25.29	224	0.875	bilinear
123	densenet201	65.29	34.71	85.69	14.31	20.01	224	0.875	bicubic
124	tf_efficientnet_es	65.22	34.78	85.55	14.45	5.44	224	0.875	bicubic
125	dla60	65.2	34.8	85.76	14.24	22.33	224	0.875	bilinear
126	tf_efficientnet_cc_b0_4e	65.15	34.85	85.16	14.84	13.31	224	0.875	bicubic
127	seresnext26_32x4d	65.05	34.95	85.66	14.34	16.79	224	0.875	bicubic
128	hrnet_w18	64.92	35.08	85.74	14.26	21.3	224	0.875	bilinear
129	densenet169	64.76	35.24	85.24	14.76	14.15	224	0.875	bicubic
130	mixnet_m	64.7	35.3	85.45	14.55	5.01	224	0.875	bicubic
131	resnet26d	64.68	35.32	85.12	14.88	16.01	224	0.875	bicubic
132	tf_efficientnet_b0	64.31	35.69	85.28	14.72	5.29	224	0.875	bicubic
133	tf_mixnet_m	64.27	35.73	85.09	14.91	5.01	224	0.875	bicubic
134	dpn68	64.23	35.77	85.18	14.82	12.61	224	0.875	bicubic
135	tf_mixnet_s	63.56	36.44	84.27	15.73	4.13	224	0.875	bicubic
136	resnet26	63.47	36.53	84.26	15.74	16.0	224	0.875	bicubic
137	mixnet_s	63.39	36.61	84.74	15.26	4.13	224	0.875	bicubic
138	tv_resnet50	63.33	36.67	84.64	15.36	25.56	224	0.875	bilinear
139	mobilenetv3_rw	63.22	36.78	84.51	15.49	5.48	224	0.875	bicubic
140	semnasnet_100	63.15	36.85	84.52	15.48	3.89	224	0.875	bicubic
141	densenet121	62.94	37.06	84.25	15.75	7.98	224	0.875	bicubic
142	resnet34	62.87	37.13	84.14	15.86	21.8	224	0.875	bilinear
143	seresnet34	62.85	37.15	84.21	15.79	21.96	224	0.875	bilinear
144	hrnet_w18_small_v2	62.8	37.2	83.98	16.02	15.6	224	0.875	bilinear
145	swsl_resnet18	62.76	37.24	84.3	15.7	11.69	224	0.875	bilinear
146	gluon_resnet34_v1b	62.57	37.43	83.99	16.01	21.8	224	0.875	bicubic
147	dla34	62.48	37.52	83.91	16.09	15.78	224	0.875	bilinear
148	tf_mobilenetv3_large_100	62.46	37.54	83.97	16.03	5.48	224	0.875	bilinear
149	fbnetc_100	62.44	37.56	83.38	16.62	5.57	224	0.875	bilinear
150	mnasnet_100	61.9	38.1	83.71	16.29	4.38	224	0.875	bicubic
151	ssl_resnet18	61.48	38.52	83.3	16.7	11.69	224	0.875	bilinear
152	spnasnet_100	61.22	38.78	82.79	17.21	4.42	224	0.875	bilinear
153	tv_resnet34	61.19	38.81	82.71	17.29	21.8	224	0.875	bilinear
154	tf_mobilenetv3_large_075	60.4	39.6	81.95	18.05	3.99	224	0.875	bilinear
155	seresnet18	59.8	40.2	81.69	18.31	11.78	224	0.875	bicubic
156	tf_mobilenetv3_large_minimal_100	59.07	40.93	81.15	18.85	3.92	224	0.875	bilinear
157	hrnet_w18_small	58.95	41.05	81.34	18.66	13.19	224	0.875	bilinear
158	gluon_resnet18_v1b	58.34	41.66	80.97	19.03	11.69	224	0.875	bicubic
159	resnet18	57.17	42.83	80.2	19.8	11.69	224	0.875	bilinear
160	dla60x_c	56.0	44.0	78.93	21.07	1.34	224	0.875	bilinear
161	tf_mobilenetv3_small_100	54.53	45.47	77.06	22.94	2.54	224	0.875	bilinear
162	dla46x_c	53.05	46.95	76.87	23.13	1.08	224	0.875	bilinear
163	tf_mobilenetv3_small_075	52.16	47.84	75.47	24.53	2.04	224	0.875	bilinear
164	dla46_c	52.13	47.87	75.69	24.31	1.31	224	0.875	bilinear
165	tf_mobilenetv3_small_minimal_100	49.5	50.5	73.05	26.95	2.04	224	0.875	bilinear