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	80.46	19.54	95.73	4.27	480.31	475	0.936	bicubic
3	tf_efficientnet_l2_ns	80.25	19.75	95.84	4.16	480.31	800	0.96	bicubic
4	tf_efficientnet_b7_ns	78.51	21.49	94.38	5.62	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	93.31	6.69	828.41	224	0.875	bilinear
7	ig_resnext101_32x32d	76.84	23.16	93.2	6.8	468.53	224	0.875	bilinear
8	tf_efficientnet_b5_ns	76.81	23.19	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	75.72	24.28	92.91	7.09	194.03	224	0.875	bilinear
12	tf_efficientnet_b4_ns	75.67	24.33	93.05	6.95	19.34	380	0.922	bicubic
13	swsl_resnext101_32x8d	75.43	24.57	92.76	7.24	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	74.94	25.06	92.31	7.69	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	74.6	25.4	91.99	8.01	30.39	456	0.934	bicubic
18	swsl_resnext101_32x4d	74.14	25.86	91.99	8.01	44.18	224	0.875	bilinear
19	swsl_resnext101_32x16d	74.02	25.98	92.16	7.84	194.03	224	0.875	bilinear
20	tf_efficientnet_b6	73.9	26.1	91.75	8.25	43.04	528	0.942	bicubic
21	tf_efficientnet_b3_ns	73.89	26.11	91.87	8.13	12.23	300	0.904	bicubic
22	ig_resnext101_32x8d	73.65	26.35	92.19	7.81	88.79	224	0.875	bilinear
23	tf_efficientnet_b5	73.55	26.45	91.46	8.54	30.39	456	0.934	bicubic
24	tf_efficientnet_b4_ap	72.89	27.11	90.98	9.02	19.34	380	0.922	bicubic
25	swsl_resnext50_32x4d	72.56	27.44	90.87	9.13	25.03	224	0.875	bilinear
26	pnasnet5large	72.38	27.62	90.24	9.76	86.06	331	0.875	bicubic
27	nasnetalarge	72.32	27.68	90.53	9.47	88.75	331	0.875	bicubic
28	tf_efficientnet_b4	72.29	27.71	90.59	9.41	19.34	380	0.922	bicubic
29	tf_efficientnet_b2_ns	72.28	27.72	91.09	8.91	9.11	260	0.89	bicubic
30	swsl_resnet50	71.7	28.3	90.5	9.5	25.56	224	0.875	bilinear
31	ssl_resnext101_32x8d	71.5	28.5	90.46	9.54	88.79	224	0.875	bilinear
32	ssl_resnext101_32x16d	71.41	28.59	90.56	9.44	194.03	224	0.875	bilinear
33	tf_efficientnet_b3_ap	70.92	29.08	89.43	10.57	12.23	300	0.904	bicubic
34	efficientnet_b3a	70.87	29.13	89.72	10.28	12.23	320	1.0	bicubic
35	tf_efficientnet_b1_ns	70.87	29.13	90.12	9.88	7.79	240	0.882	bicubic
36	efficientnet_b3	70.76	29.24	89.85	10.15	12.23	300	0.904	bicubic
37	tf_efficientnet_b3	70.64	29.36	89.44	10.56	12.23	300	0.904	bicubic
38	gluon_senet154	70.6	29.4	88.92	11.08	115.09	224	0.875	bicubic
39	ssl_resnext101_32x4d	70.53	29.47	89.76	10.24	44.18	224	0.875	bilinear
40	senet154	70.5	29.5	89.01	10.99	115.09	224	0.875	bilinear
41	gluon_seresnext101_64x4d	70.43	29.57	89.35	10.65	88.23	224	0.875	bicubic
42	gluon_resnet152_v1s	70.29	29.71	88.85	11.15	60.32	224	0.875	bicubic
43	inception_resnet_v2	70.12	29.88	88.7	11.3	55.84	299	0.8975	bicubic
44	gluon_seresnext101_32x4d	70.01	29.99	88.9	11.1	48.96	224	0.875	bicubic
45	gluon_resnet152_v1d	69.96	30.04	88.49	11.51	60.21	224	0.875	bicubic
46	ssl_resnext50_32x4d	69.71	30.29	89.44	10.56	25.03	224	0.875	bilinear
47	gluon_resnext101_64x4d	69.68	30.32	88.27	11.73	83.46	224	0.875	bicubic
48	ens_adv_inception_resnet_v2	69.52	30.48	88.51	11.49	55.84	299	0.8975	bicubic
49	efficientnet_b2a	69.5	30.5	88.68	11.32	9.11	288	1.0	bicubic
50	inception_v4	69.36	30.64	88.78	11.22	42.68	299	0.875	bicubic
51	seresnext101_32x4d	69.36	30.64	88.07	11.93	48.96	224	0.875	bilinear
52	gluon_resnet152_v1c	69.14	30.86	87.87	12.13	60.21	224	0.875	bicubic
53	mixnet_xl	69.1	30.9	88.31	11.69	11.9	224	0.875	bicubic
54	gluon_resnet101_v1d	69.01	30.99	88.1	11.9	44.57	224	0.875	bicubic
55	efficientnet_b2	68.97	31.03	88.63	11.37	9.11	260	0.875	bicubic
56	gluon_resnext101_32x4d	68.96	31.04	88.36	11.64	44.18	224	0.875	bicubic
57	gluon_xception65	68.92	31.08	88.33	11.67	39.92	299	0.875	bicubic
58	tf_efficientnet_b2_ap	68.92	31.08	88.35	11.65	9.11	260	0.89	bicubic
59	gluon_resnet152_v1b	68.82	31.18	87.71	12.29	60.19	224	0.875	bicubic
60	dpn131	68.77	31.23	87.47	12.53	79.25	224	0.875	bicubic
61	tf_efficientnet_b2	68.75	31.25	87.99	12.01	9.11	260	0.89	bicubic
62	resnext50d_32x4d	68.74	31.26	88.3	11.7	25.05	224	0.875	bicubic
63	gluon_resnet101_v1s	68.71	31.29	87.91	12.09	44.67	224	0.875	bicubic
64	dpn107	68.69	31.31	88.13	11.87	86.92	224	0.875	bicubic
65	gluon_seresnext50_32x4d	68.67	31.33	88.31	11.69	27.56	224	0.875	bicubic
66	hrnet_w64	68.64	31.36	88.05	11.95	128.06	224	0.875	bilinear
67	dpn98	68.59	31.41	87.68	12.32	61.57	224	0.875	bicubic
68	ssl_resnet50	68.41	31.59	88.56	11.44	25.56	224	0.875	bilinear
69	skresnext50_32x4d	68.35	31.65	87.57	12.43	27.48	224	0.875	bicubic
70	dla102x2	68.33	31.67	87.89	12.11	41.75	224	0.875	bilinear
71	gluon_resnext50_32x4d	68.31	31.69	87.3	12.7	25.03	224	0.875	bicubic
72	tf_efficientnet_el	68.18	31.82	88.35	11.65	10.59	300	0.904	bicubic
73	dpn92	67.99	32.01	87.58	12.42	37.67	224	0.875	bicubic
74	gluon_resnet50_v1d	67.94	32.06	87.13	12.87	25.58	224	0.875	bicubic
75	resnext101_32x8d	67.86	32.14	87.49	12.51	88.79	224	0.875	bilinear
76	seresnext50_32x4d	67.84	32.16	87.62	12.38	27.56	224	0.875	bilinear
77	hrnet_w48	67.77	32.23	87.42	12.58	77.47	224	0.875	bilinear
78	hrnet_w44	67.74	32.26	87.56	12.44	67.06	224	0.875	bilinear
79	tf_efficientnet_b0_ns	67.71	32.29	88.07	11.93	5.29	224	0.875	bicubic
80	xception	67.65	32.35	87.57	12.43	22.86	299	0.8975	bicubic
81	dla169	67.61	32.39	87.59	12.41	53.99	224	0.875	bilinear
82	gluon_inception_v3	67.59	32.41	87.47	12.53	23.83	299	0.875	bicubic
83	gluon_resnet101_v1c	67.58	32.42	87.18	12.82	44.57	224	0.875	bicubic
84	res2net50_26w_8s	67.57	32.43	87.28	12.72	48.4	224	0.875	bilinear
85	hrnet_w40	67.56	32.44	87.14	12.86	57.56	224	0.875	bilinear
86	seresnet152	67.52	32.48	87.39	12.61	66.82	224	0.875	bilinear
87	tf_efficientnet_b1_ap	67.52	32.48	87.76	12.24	7.79	240	0.882	bicubic
88	gluon_resnet101_v1b	67.46	32.54	87.24	12.76	44.55	224	0.875	bicubic
89	tf_efficientnet_cc_b1_8e	67.45	32.55	87.31	12.69	39.72	240	0.882	bicubic
90	res2net101_26w_4s	67.44	32.56	87.01	12.99	45.21	224	0.875	bilinear
91	resnet50	67.44	32.56	87.42	12.58	25.56	224	0.875	bicubic
92	efficientnet_b1	67.17	32.83	87.15	12.85	7.79	240	0.875	bicubic
93	seresnet101	67.16	32.84	87.06	12.94	49.33	224	0.875	bilinear
94	dla60x	67.1	32.9	87.19	12.81	17.65	224	0.875	bilinear
95	gluon_resnet50_v1s	67.06	32.94	86.86	13.14	25.68	224	0.875	bicubic
96	resnet152	67.05	32.95	87.55	12.45	60.19	224	0.875	bilinear
97	dla60_res2net	67.02	32.98	87.16	12.84	21.15	224	0.875	bilinear
98	dla102x	67.01	32.99	86.77	13.23	26.77	224	0.875	bilinear
99	mixnet_l	66.94	33.06	86.91	13.09	7.33	224	0.875	bicubic
100	res2net50_26w_6s	66.91	33.09	86.86	13.14	37.05	224	0.875	bilinear
101	efficientnet_es	66.88	33.12	86.73	13.27	5.44	224	0.875	bicubic
102	tf_efficientnet_b1	66.88	33.12	87.01	12.99	7.79	240	0.882	bicubic
103	tf_efficientnet_em	66.88	33.12	86.97	13.03	6.9	240	0.882	bicubic
104	resnext50_32x4d	66.87	33.13	86.34	13.66	25.03	224	0.875	bicubic
105	hrnet_w30	66.78	33.22	86.8	13.2	37.71	224	0.875	bilinear
106	tf_mixnet_l	66.78	33.22	86.47	13.53	7.33	224	0.875	bicubic
107	selecsls60b	66.76	33.24	86.53	13.47	32.77	224	0.875	bicubic
108	hrnet_w32	66.75	33.25	87.3	12.7	41.23	224	0.875	bilinear
109	wide_resnet101_2	66.73	33.27	87.03	12.97	126.89	224	0.875	bilinear
110	adv_inception_v3	66.65	33.35	86.54	13.46	23.83	299	0.875	bicubic
111	wide_resnet50_2	66.65	33.35	86.8	13.2	68.88	224	0.875	bilinear
112	dla60_res2next	66.64	33.36	87.03	12.97	17.33	224	0.875	bilinear
113	gluon_resnet50_v1c	66.56	33.44	86.18	13.82	25.58	224	0.875	bicubic
114	dla102	66.54	33.46	86.91	13.09	33.73	224	0.875	bilinear
115	tf_inception_v3	66.41	33.59	86.66	13.34	23.83	299	0.875	bicubic
116	efficientnet_b0	66.29	33.71	85.96	14.04	5.29	224	0.875	bicubic
117	seresnet50	66.25	33.75	86.33	13.67	28.09	224	0.875	bilinear
118	selecsls60	66.21	33.79	86.34	13.66	30.67	224	0.875	bicubic
119	tv_resnext50_32x4d	66.18	33.82	86.04	13.96	25.03	224	0.875	bilinear
120	tf_efficientnet_cc_b0_8e	66.17	33.83	86.24	13.76	24.01	224	0.875	bicubic
121	inception_v3	66.16	33.84	86.32	13.68	27.16	299	0.875	bicubic
122	res2net50_26w_4s	66.14	33.86	86.6	13.4	25.7	224	0.875	bilinear
123	gluon_resnet50_v1b	66.07	33.93	86.26	13.74	25.56	224	0.875	bicubic
124	res2net50_14w_8s	66.02	33.98	86.25	13.75	25.06	224	0.875	bilinear
125	seresnext26tn_32x4d	65.88	34.12	85.68	14.32	16.81	224	0.875	bicubic
126	res2next50	65.85	34.15	85.84	14.16	24.67	224	0.875	bilinear
127	densenet161	65.84	34.16	86.45	13.55	28.68	224	0.875	bicubic
128	resnet101	65.69	34.31	85.98	14.02	44.55	224	0.875	bilinear
129	selecsls42b	65.61	34.39	85.81	14.19	32.46	224	0.875	bicubic
130	seresnext26t_32x4d	65.6	34.4	86.08	13.92	16.82	224	0.875	bicubic
131	dpn68b	65.57	34.43	85.93	14.07	12.61	224	0.875	bicubic
132	tf_efficientnet_b0_ap	65.49	34.51	85.58	14.42	5.29	224	0.875	bicubic
133	seresnext26d_32x4d	65.41	34.59	85.97	14.03	16.81	224	0.875	bicubic
134	res2net50_48w_2s	65.35	34.65	85.96	14.04	25.29	224	0.875	bilinear
135	densenet201	65.29	34.71	85.69	14.31	20.01	224	0.875	bicubic
136	tf_efficientnet_es	65.22	34.78	85.55	14.45	5.44	224	0.875	bicubic
137	dla60	65.2	34.8	85.76	14.24	22.33	224	0.875	bilinear
138	tf_efficientnet_cc_b0_4e	65.15	34.85	85.16	14.84	13.31	224	0.875	bicubic
139	seresnext26_32x4d	65.05	34.95	85.66	14.34	16.79	224	0.875	bicubic
140	hrnet_w18	64.92	35.08	85.74	14.26	21.3	224	0.875	bilinear
141	densenet169	64.76	35.24	85.24	14.76	14.15	224	0.875	bicubic
142	mixnet_m	64.7	35.3	85.45	14.55	5.01	224	0.875	bicubic
143	resnet26d	64.68	35.32	85.12	14.88	16.01	224	0.875	bicubic
144	tf_efficientnet_b0	64.31	35.69	85.28	14.72	5.29	224	0.875	bicubic
145	tf_mixnet_m	64.27	35.73	85.09	14.91	5.01	224	0.875	bicubic
146	dpn68	64.23	35.77	85.18	14.82	12.61	224	0.875	bicubic
147	tf_mixnet_s	63.56	36.44	84.27	15.73	4.13	224	0.875	bicubic
148	resnet26	63.47	36.53	84.26	15.74	16.0	224	0.875	bicubic
149	mixnet_s	63.39	36.61	84.74	15.26	4.13	224	0.875	bicubic
150	tv_resnet50	63.33	36.67	84.64	15.36	25.56	224	0.875	bilinear
151	mobilenetv3_rw	63.22	36.78	84.51	15.49	5.48	224	0.875	bicubic
152	semnasnet_100	63.15	36.85	84.52	15.48	3.89	224	0.875	bicubic
153	densenet121	62.94	37.06	84.25	15.75	7.98	224	0.875	bicubic
154	resnet34	62.87	37.13	84.14	15.86	21.8	224	0.875	bilinear
155	seresnet34	62.85	37.15	84.21	15.79	21.96	224	0.875	bilinear
156	hrnet_w18_small_v2	62.8	37.2	83.98	16.02	15.6	224	0.875	bilinear
157	swsl_resnet18	62.76	37.24	84.3	15.7	11.69	224	0.875	bilinear
158	gluon_resnet34_v1b	62.57	37.43	83.99	16.01	21.8	224	0.875	bicubic
159	dla34	62.48	37.52	83.91	16.09	15.78	224	0.875	bilinear
160	tf_mobilenetv3_large_100	62.46	37.54	83.97	16.03	5.48	224	0.875	bilinear
161	fbnetc_100	62.44	37.56	83.38	16.62	5.57	224	0.875	bilinear
162	mnasnet_100	61.9	38.1	83.71	16.29	4.38	224	0.875	bicubic
163	ssl_resnet18	61.48	38.52	83.3	16.7	11.69	224	0.875	bilinear
164	spnasnet_100	61.22	38.78	82.79	17.21	4.42	224	0.875	bilinear
165	tv_resnet34	61.19	38.81	82.71	17.29	21.8	224	0.875	bilinear
166	skresnet18	60.86	39.14	82.88	17.12	11.96	224	0.875	bicubic
167	tf_mobilenetv3_large_075	60.4	39.6	81.95	18.05	3.99	224	0.875	bilinear
168	seresnet18	59.8	40.2	81.69	18.31	11.78	224	0.875	bicubic
169	tf_mobilenetv3_large_minimal_100	59.07	40.93	81.15	18.85	3.92	224	0.875	bilinear
170	hrnet_w18_small	58.95	41.05	81.34	18.66	13.19	224	0.875	bilinear
171	gluon_resnet18_v1b	58.34	41.66	80.97	19.03	11.69	224	0.875	bicubic
172	resnet18	57.17	42.83	80.2	19.8	11.69	224	0.875	bilinear
173	dla60x_c	56.0	44.0	78.93	21.07	1.34	224	0.875	bilinear
174	tf_mobilenetv3_small_100	54.53	45.47	77.06	22.94	2.54	224	0.875	bilinear
175	dla46x_c	53.05	46.95	76.87	23.13	1.08	224	0.875	bilinear
176	tf_mobilenetv3_small_075	52.16	47.84	75.47	24.53	2.04	224	0.875	bilinear
177	dla46_c	52.13	47.87	75.69	24.31	1.31	224	0.875	bilinear
178	tf_mobilenetv3_small_minimal_100	49.5	50.5	73.05	26.95	2.04	224	0.875	bilinear