pytorch-image-models/results/results-inv2-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	93.32	6.68	828.41	224	0.875	bilinear
3	ig_resnext101_32x32d	76.84	23.16	93.19	6.81	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	75.71	24.29	92.9	7.1	194.03	224	0.875	bilinear
7	swsl_resnext101_32x8d	75.45	24.55	92.75	7.25	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_b7	74.72	25.28	92.22	7.78	66.35	600	0.949	bicubic
10	tf_efficientnet_b5_ap	74.59	25.41	91.99	8.01	30.39	456	0.934	bicubic
11	swsl_resnext101_32x4d	74.15	25.85	91.99	8.01	44.18	224	0.875	bilinear
12	swsl_resnext101_32x16d	74.01	25.99	92.17	7.83	194.03	224	0.875	bilinear
13	tf_efficientnet_b6	73.9	26.1	91.75	8.25	43.04	528	0.942	bicubic
14	ig_resnext101_32x8d	73.66	26.34	92.15	7.85	88.79	224	0.875	bilinear
15	tf_efficientnet_b5	73.54	26.46	91.46	8.54	30.39	456	0.934	bicubic
16	tf_efficientnet_b4_ap	72.89	27.11	90.98	9.02	19.34	380	0.922	bicubic
17	swsl_resnext50_32x4d	72.58	27.42	90.84	9.16	25.03	224	0.875	bilinear
18	pnasnet5large	72.37	27.63	90.26	9.74	86.06	331	0.875	bicubic
19	nasnetalarge	72.31	27.69	90.51	9.49	88.75	331	0.875	bicubic
20	tf_efficientnet_b4	72.28	27.72	90.6	9.4	19.34	380	0.922	bicubic
21	swsl_resnet50	71.69	28.31	90.51	9.49	25.56	224	0.875	bilinear
22	ssl_resnext101_32x8d	71.49	28.51	90.47	9.53	88.79	224	0.875	bilinear
23	ssl_resnext101_32x16d	71.4	28.6	90.55	9.45	194.03	224	0.875	bilinear
24	tf_efficientnet_b3_ap	70.92	29.08	89.43	10.57	12.23	300	0.904	bicubic
25	tf_efficientnet_b3	70.62	29.38	89.44	10.56	12.23	300	0.904	bicubic
26	gluon_senet154	70.6	29.4	88.92	11.08	115.09	224	0.875	bicubic
27	ssl_resnext101_32x4d	70.5	29.5	89.76	10.24	44.18	224	0.875	bilinear
28	senet154	70.48	29.52	88.99	11.01	115.09	224	0.875	bilinear
29	gluon_seresnext101_64x4d	70.44	29.56	89.35	10.65	88.23	224	0.875	bicubic
30	gluon_resnet152_v1s	70.32	29.68	88.87	11.13	60.32	224	0.875	bicubic
31	inception_resnet_v2	70.12	29.88	88.68	11.32	55.84	299	0.8975	bicubic
32	gluon_seresnext101_32x4d	70.01	29.99	88.91	11.09	48.96	224	0.875	bicubic
33	gluon_resnet152_v1d	69.95	30.05	88.47	11.53	60.21	224	0.875	bicubic
34	gluon_resnext101_64x4d	69.69	30.31	88.26	11.74	83.46	224	0.875	bicubic
35	ssl_resnext50_32x4d	69.69	30.31	89.42	10.58	25.03	224	0.875	bilinear
36	ens_adv_inception_resnet_v2	69.52	30.48	88.5	11.5	55.84	299	0.8975	bicubic
37	inception_v4	69.35	30.65	88.78	11.22	42.68	299	0.875	bicubic
38	seresnext101_32x4d	69.34	30.66	88.05	11.95	48.96	224	0.875	bilinear
39	gluon_resnet152_v1c	69.13	30.87	87.89	12.11	60.21	224	0.875	bicubic
40	mixnet_xl	69	31	88.19	11.81	11.9	224	0.875	bicubic
41	gluon_resnet101_v1d	68.99	31.01	88.08	11.92	44.57	224	0.875	bicubic
42	gluon_xception65	68.98	31.02	88.32	11.68	39.92	299	0.875	bicubic
43	gluon_resnext101_32x4d	68.96	31.04	88.34	11.66	44.18	224	0.875	bicubic
44	tf_efficientnet_b2_ap	68.93	31.07	88.34	11.66	9.11	260	0.89	bicubic
45	gluon_resnet152_v1b	68.81	31.19	87.71	12.29	60.19	224	0.875	bicubic
46	dpn131	68.76	31.24	87.48	12.52	79.25	224	0.875	bicubic
47	resnext50d_32x4d	68.75	31.25	88.31	11.69	25.05	224	0.875	bicubic
48	tf_efficientnet_b2	68.75	31.25	87.95	12.05	9.11	260	0.89	bicubic
49	gluon_resnet101_v1s	68.72	31.28	87.9	12.1	44.67	224	0.875	bicubic
50	dpn107	68.71	31.29	88.13	11.87	86.92	224	0.875	bicubic
51	gluon_seresnext50_32x4d	68.67	31.33	88.32	11.68	27.56	224	0.875	bicubic
52	hrnet_w64	68.63	31.37	88.07	11.93	128.06	224	0.875	bilinear
53	dpn98	68.58	31.42	87.66	12.34	61.57	224	0.875	bicubic
54	ssl_resnet50	68.42	31.58	88.58	11.42	25.56	224	0.875	bilinear
55	dla102x2	68.34	31.66	87.87	12.13	41.75	224	0.875	bilinear
56	gluon_resnext50_32x4d	68.28	31.72	87.32	12.68	25.03	224	0.875	bicubic
57	tf_efficientnet_el	68.18	31.82	88.35	11.65	10.59	300	0.904	bicubic
58	dpn92	68.01	31.99	87.59	12.41	37.67	224	0.875	bicubic
59	gluon_resnet50_v1d	67.91	32.09	87.12	12.88	25.58	224	0.875	bicubic
60	seresnext50_32x4d	67.87	32.13	87.62	12.38	27.56	224	0.875	bilinear
61	resnext101_32x8d	67.85	32.15	87.48	12.52	88.79	224	0.875	bilinear
62	efficientnet_b2	67.8	32.2	88.2	11.8	9.11	260	0.89	bicubic
63	hrnet_w44	67.77	32.23	87.53	12.47	67.06	224	0.875	bilinear
64	hrnet_w48	67.77	32.23	87.42	12.58	77.47	224	0.875	bilinear
65	xception	67.67	32.33	87.57	12.43	22.86	299	0.8975	bicubic
66	dla169	67.61	32.39	87.56	12.44	53.99	224	0.875	bilinear
67	gluon_inception_v3	67.59	32.41	87.46	12.54	23.83	299	0.875	bicubic
68	hrnet_w40	67.59	32.41	87.13	12.87	57.56	224	0.875	bilinear
69	gluon_resnet101_v1c	67.56	32.44	87.16	12.84	44.57	224	0.875	bicubic
70	efficientnet_b1	67.55	32.45	87.29	12.71	7.79	240	0.882	bicubic
71	seresnet152	67.55	32.45	87.39	12.61	66.82	224	0.875	bilinear
72	res2net50_26w_8s	67.53	32.47	87.27	12.73	48.4	224	0.875	bilinear
73	tf_efficientnet_b1_ap	67.52	32.48	87.77	12.23	7.79	240	0.882	bicubic
74	tf_efficientnet_cc_b1_8e	67.48	32.52	87.31	12.69	39.72	240	0.882	bicubic
75	gluon_resnet101_v1b	67.45	32.55	87.23	12.77	44.55	224	0.875	bicubic
76	res2net101_26w_4s	67.45	32.55	87.01	12.99	45.21	224	0.875	bilinear
77	seresnet101	67.15	32.85	87.05	12.95	49.33	224	0.875	bilinear
78	gluon_resnet50_v1s	67.1	32.9	86.86	13.14	25.68	224	0.875	bicubic
79	dla60x	67.08	32.92	87.17	12.83	17.65	224	0.875	bilinear
80	dla60_res2net	67.03	32.97	87.14	12.86	21.15	224	0.875	bilinear
81	resnet152	67.02	32.98	87.57	12.43	60.19	224	0.875	bilinear
82	dla102x	67	33	86.77	13.23	26.77	224	0.875	bilinear
83	mixnet_l	66.97	33.03	86.94	13.06	7.33	224	0.875	bicubic
84	res2net50_26w_6s	66.91	33.09	86.9	13.1	37.05	224	0.875	bilinear
85	tf_efficientnet_b1	66.89	33.11	87.04	12.96	7.79	240	0.882	bicubic
86	resnext50_32x4d	66.88	33.12	86.36	13.64	25.03	224	0.875	bicubic
87	tf_efficientnet_em	66.87	33.13	86.98	13.02	6.9	240	0.882	bicubic
88	resnet50	66.81	33.19	87	13	25.56	224	0.875	bicubic
89	hrnet_w32	66.79	33.21	87.29	12.71	41.23	224	0.875	bilinear
90	tf_mixnet_l	66.78	33.22	86.46	13.54	7.33	224	0.875	bicubic
91	hrnet_w30	66.76	33.24	86.79	13.21	37.71	224	0.875	bilinear
92	wide_resnet101_2	66.68	33.32	87.04	12.96	126.89	224	0.875	bilinear
93	wide_resnet50_2	66.65	33.35	86.81	13.19	68.88	224	0.875	bilinear
94	dla60_res2next	66.64	33.36	87.02	12.98	17.33	224	0.875	bilinear
95	adv_inception_v3	66.6	33.4	86.56	13.44	23.83	299	0.875	bicubic
96	dla102	66.55	33.45	86.91	13.09	33.73	224	0.875	bilinear
97	gluon_resnet50_v1c	66.54	33.46	86.16	13.84	25.58	224	0.875	bicubic
98	tf_inception_v3	66.42	33.58	86.68	13.32	23.83	299	0.875	bicubic
99	seresnet50	66.24	33.76	86.33	13.67	28.09	224	0.875	bilinear
100	tf_efficientnet_cc_b0_8e	66.21	33.79	86.22	13.78	24.01	224	0.875	bicubic
101	tv_resnext50_32x4d	66.18	33.82	86.04	13.96	25.03	224	0.875	bilinear
102	res2net50_26w_4s	66.17	33.83	86.6	13.4	25.7	224	0.875	bilinear
103	inception_v3	66.12	33.88	86.34	13.66	27.16	299	0.875	bicubic
104	gluon_resnet50_v1b	66.04	33.96	86.27	13.73	25.56	224	0.875	bicubic
105	res2net50_14w_8s	66.02	33.98	86.24	13.76	25.06	224	0.875	bilinear
106	densenet161	65.85	34.15	86.46	13.54	28.68	224	0.875	bicubic
107	res2next50	65.85	34.15	85.83	14.17	24.67	224	0.875	bilinear
108	resnet101	65.68	34.32	85.98	14.02	44.55	224	0.875	bilinear
109	dpn68b	65.6	34.4	85.94	14.06	12.61	224	0.875	bicubic
110	tf_efficientnet_b0_ap	65.49	34.51	85.55	14.45	5.29	224	0.875	bicubic
111	res2net50_48w_2s	65.32	34.68	85.96	14.04	25.29	224	0.875	bilinear
112	densenet201	65.28	34.72	85.67	14.33	20.01	224	0.875	bicubic
113	tf_efficientnet_es	65.24	34.76	85.54	14.46	5.44	224	0.875	bicubic
114	dla60	65.22	34.78	85.75	14.25	22.33	224	0.875	bilinear
115	tf_efficientnet_cc_b0_4e	65.13	34.87	85.13	14.87	13.31	224	0.875	bicubic
116	seresnext26_32x4d	65.04	34.96	85.65	14.35	16.79	224	0.875	bicubic
117	hrnet_w18	64.91	35.09	85.75	14.25	21.3	224	0.875	bilinear
118	densenet169	64.78	35.22	85.25	14.75	14.15	224	0.875	bicubic
119	mixnet_m	64.69	35.31	85.47	14.53	5.01	224	0.875	bicubic
120	resnet26d	64.63	35.37	85.12	14.88	16.01	224	0.875	bicubic
121	efficientnet_b0	64.58	35.42	85.89	14.11	5.29	224	0.875	bicubic
122	tf_efficientnet_b0	64.29	35.71	85.25	14.75	5.29	224	0.875	bicubic
123	tf_mixnet_m	64.27	35.73	85.09	14.91	5.01	224	0.875	bicubic
124	dpn68	64.22	35.78	85.18	14.82	12.61	224	0.875	bicubic
125	tf_mixnet_s	63.59	36.41	84.27	15.73	4.13	224	0.875	bicubic
126	resnet26	63.45	36.55	84.27	15.73	16	224	0.875	bicubic
127	mixnet_s	63.38	36.62	84.71	15.29	4.13	224	0.875	bicubic
128	tv_resnet50	63.33	36.67	84.65	15.35	25.56	224	0.875	bilinear
129	mobilenetv3_rw	63.23	36.77	84.52	15.48	5.48	224	0.875	bicubic
130	semnasnet_100	63.12	36.88	84.53	15.47	3.89	224	0.875	bicubic
131	densenet121	62.94	37.06	84.26	15.74	7.98	224	0.875	bicubic
132	seresnet34	62.89	37.11	84.22	15.78	21.96	224	0.875	bilinear
133	hrnet_w18_small_v2	62.83	37.17	83.97	16.03	15.6	224	0.875	bilinear
134	resnet34	62.82	37.18	84.12	15.88	21.8	224	0.875	bilinear
135	swsl_resnet18	62.73	37.27	84.3	15.7	11.69	224	0.875	bilinear
136	gluon_resnet34_v1b	62.56	37.44	84	16	21.8	224	0.875	bicubic
137	dla34	62.51	37.49	83.92	16.08	15.78	224	0.875	bilinear
138	tf_mobilenetv3_large_100	62.47	37.53	83.96	16.04	5.48	224	0.875	bilinear
139	fbnetc_100	62.43	37.57	83.39	16.61	5.57	224	0.875	bilinear
140	mnasnet_100	61.91	38.09	83.71	16.29	4.38	224	0.875	bicubic
141	ssl_resnet18	61.49	38.51	83.33	16.67	11.69	224	0.875	bilinear
142	spnasnet_100	61.21	38.79	82.77	17.23	4.42	224	0.875	bilinear
143	tv_resnet34	61.2	38.8	82.72	17.28	21.8	224	0.875	bilinear
144	tf_mobilenetv3_large_075	60.38	39.62	81.96	18.04	3.99	224	0.875	bilinear
145	seresnet18	59.81	40.19	81.68	18.32	11.78	224	0.875	bicubic
146	tf_mobilenetv3_large_minimal_100	59.07	40.93	81.14	18.86	3.92	224	0.875	bilinear
147	hrnet_w18_small	58.97	41.03	81.34	18.66	13.19	224	0.875	bilinear
148	gluon_resnet18_v1b	58.32	41.68	80.96	19.04	11.69	224	0.875	bicubic
149	resnet18	57.18	42.82	80.19	19.81	11.69	224	0.875	bilinear
150	dla60x_c	56.02	43.98	78.96	21.04	1.34	224	0.875	bilinear
151	tf_mobilenetv3_small_100	54.51	45.49	77.08	22.92	2.54	224	0.875	bilinear
152	dla46x_c	53.08	46.92	76.84	23.16	1.08	224	0.875	bilinear
153	dla46_c	52.2	47.8	75.68	24.32	1.31	224	0.875	bilinear
154	tf_mobilenetv3_small_075	52.15	47.85	75.46	24.54	2.04	224	0.875	bilinear
155	tf_mobilenetv3_small_minimal_100	49.53	50.47	73.05	26.95	2.04	224	0.875	bilinear