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	resnet18	57.18	42.82	80.19	19.81	11.69	224	0.875	bilinear
3	gluon_resnet18_v1b	58.32	41.68	80.96	19.04	11.69	224	0.875	bicubic
4	seresnet18	59.81	40.19	81.68	18.32	11.78	224	0.875	bicubic
5	tv_resnet34	61.2	38.8	82.72	17.28	21.8	224	0.875	bilinear
6	spnasnet_100	61.21	38.79	82.77	17.23	4.42	224	0.875	bilinear
7	mnasnet_100	61.91	38.09	83.71	16.29	4.38	224	0.875	bicubic
8	fbnetc_100	62.43	37.57	83.39	16.61	5.57	224	0.875	bilinear
9	gluon_resnet34_v1b	62.56	37.44	84	16	21.8	224	0.875	bicubic
10	resnet34	62.82	37.18	84.12	15.88	21.8	224	0.875	bilinear
11	seresnet34	62.89	37.11	84.22	15.78	21.96	224	0.875	bilinear
12	densenet121	62.94	37.06	84.26	15.74	7.98	224	0.875	bicubic
13	semnasnet_100	63.12	36.88	84.53	15.47	3.89	224	0.875	bicubic
14	mobilenetv3_100	63.23	36.77	84.52	15.48	5.48	224	0.875	bicubic
15	tv_resnet50	63.33	36.67	84.65	15.35	25.56	224	0.875	bilinear
16	mixnet_s	63.38	36.62	84.71	15.29	4.13	224	0.875	bicubic
17	resnet26	63.45	36.55	84.27	15.73	16	224	0.875	bicubic
18	tf_mixnet_s	63.59	36.41	84.27	15.73	4.13	224	0.875	bicubic
19	dpn68	64.22	35.78	85.18	14.82	12.61	224	0.875	bicubic
20	tf_mixnet_m	64.27	35.73	85.09	14.91	5.01	224	0.875	bicubic
21	tf_efficientnet_b0	64.29	35.71	85.25	14.75	5.29	224	0.875	bicubic
22	efficientnet_b0	64.58	35.42	85.89	14.11	5.29	224	0.875	bicubic
23	resnet26d	64.63	35.37	85.12	14.88	16.01	224	0.875	bicubic
24	mixnet_m	64.69	35.31	85.47	14.53	5.01	224	0.875	bicubic
25	densenet169	64.78	35.22	85.25	14.75	14.15	224	0.875	bicubic
26	seresnext26_32x4d	65.04	34.96	85.65	14.35	16.79	224	0.875	bicubic
27	tf_efficientnet_es	65.24	34.76	85.54	14.46	5.44	224	0.875	bicubic
28	densenet201	65.28	34.72	85.67	14.33	20.01	224	0.875	bicubic
29	dpn68b	65.6	34.4	85.94	14.06	12.61	224	0.875	bicubic
30	resnet101	65.68	34.32	85.98	14.02	44.55	224	0.875	bilinear
31	densenet161	65.85	34.15	86.46	13.54	28.68	224	0.875	bicubic
32	gluon_resnet50_v1b	66.04	33.96	86.27	13.73	25.56	224	0.875	bicubic
33	inception_v3	66.12	33.88	86.34	13.66	27.16	299	0.875	bicubic
34	tv_resnext50_32x4d	66.18	33.82	86.04	13.96	25.03	224	0.875	bilinear
35	seresnet50	66.24	33.76	86.33	13.67	28.09	224	0.875	bilinear
36	tf_inception_v3	66.41	33.59	86.68	13.32	23.83	299	0.875	bicubic
37	gluon_resnet50_v1c	66.54	33.46	86.16	13.84	25.58	224	0.875	bicubic
38	adv_inception_v3	66.6	33.4	86.56	13.44	23.83	299	0.875	bicubic
39	wide_resnet50_2	66.65	33.35	86.81	13.19	68.88	224	0.875	bilinear
40	wide_resnet101_2	66.68	33.32	87.04	12.96	126.89	224	0.875	bilinear
41	tf_mixnet_l	66.78	33.22	86.46	13.54	7.33	224	0.875	bicubic
42	resnet50	66.81	33.19	87	13	25.56	224	0.875	bicubic
43	tf_efficientnet_em	66.87	33.13	86.98	13.02	6.9	240	0.882	bicubic
44	resnext50_32x4d	66.88	33.12	86.36	13.64	25.03	224	0.875	bicubic
45	tf_efficientnet_b1	66.89	33.11	87.04	12.96	7.79	240	0.882	bicubic
46	mixnet_l	66.97	33.03	86.94	13.06	7.33	224	0.875	bicubic
47	resnet152	67.02	32.98	87.57	12.43	60.19	224	0.875	bilinear
48	gluon_resnet50_v1s	67.1	32.9	86.86	13.14	25.68	224	0.875	bicubic
49	seresnet101	67.15	32.85	87.05	12.95	49.33	224	0.875	bilinear
50	gluon_resnet101_v1b	67.45	32.55	87.23	12.77	44.55	224	0.875	bicubic
51	efficientnet_b1	67.55	32.45	87.29	12.71	7.79	240	0.882	bicubic
52	seresnet152	67.55	32.45	87.39	12.61	66.82	224	0.875	bilinear
53	gluon_resnet101_v1c	67.56	32.44	87.16	12.84	44.57	224	0.875	bicubic
54	gluon_inception_v3	67.59	32.41	87.46	12.54	23.83	299	0.875	bicubic
55	xception	67.67	32.33	87.57	12.43	22.86	299	0.8975	bicubic
56	efficientnet_b2	67.8	32.2	88.2	11.8	9.11	260	0.89	bicubic
57	resnext101_32x8d	67.85	32.15	87.48	12.52	88.79	224	0.875	bilinear
58	seresnext50_32x4d	67.87	32.13	87.62	12.38	27.56	224	0.875	bilinear
59	gluon_resnet50_v1d	67.91	32.09	87.12	12.88	25.58	224	0.875	bicubic
60	dpn92	68.01	31.99	87.59	12.41	37.67	224	0.875	bicubic
61	tf_efficientnet_el	68.18	31.82	88.35	11.65	10.59	300	0.904	bicubic
62	gluon_resnext50_32x4d	68.28	31.72	87.32	12.68	25.03	224	0.875	bicubic
63	dpn98	68.58	31.42	87.66	12.34	61.57	224	0.875	bicubic
64	gluon_seresnext50_32x4d	68.67	31.33	88.32	11.68	27.56	224	0.875	bicubic
65	dpn107	68.71	31.29	88.13	11.87	86.92	224	0.875	bicubic
66	gluon_resnet101_v1s	68.72	31.28	87.9	12.1	44.67	224	0.875	bicubic
67	resnext50d_32x4d	68.75	31.25	88.31	11.69	25.05	224	0.875	bicubic
68	tf_efficientnet_b2	68.75	31.25	87.95	12.05	9.11	260	0.89	bicubic
69	dpn131	68.76	31.24	87.48	12.52	79.25	224	0.875	bicubic
70	gluon_resnet152_v1b	68.81	31.19	87.71	12.29	60.19	224	0.875	bicubic
71	gluon_resnext101_32x4d	68.96	31.04	88.34	11.66	44.18	224	0.875	bicubic
72	gluon_xception65	68.98	31.02	88.32	11.68	39.92	299	0.875	bicubic
73	gluon_resnet101_v1d	68.99	31.01	88.08	11.92	44.57	224	0.875	bicubic
74	mixnet_xl	69	31	88.19	11.81	11.9	224	0.875	bicubic
75	gluon_resnet152_v1c	69.13	30.87	87.89	12.11	60.21	224	0.875	bicubic
76	seresnext101_32x4d	69.34	30.66	88.05	11.95	48.96	224	0.875	bilinear
77	inception_v4	69.35	30.65	88.78	11.22	42.68	299	0.875	bicubic
78	ens_adv_inception_resnet_v2	69.52	30.48	88.5	11.5	55.84	299	0.8975	bicubic
79	gluon_resnext101_64x4d	69.69	30.31	88.26	11.74	83.46	224	0.875	bicubic
80	gluon_resnet152_v1d	69.95	30.05	88.47	11.53	60.21	224	0.875	bicubic
81	gluon_seresnext101_32x4d	70.01	29.99	88.91	11.09	48.96	224	0.875	bicubic
82	inception_resnet_v2	70.12	29.88	88.68	11.32	55.84	299	0.8975	bicubic
83	gluon_resnet152_v1s	70.32	29.68	88.87	11.13	60.32	224	0.875	bicubic
84	gluon_seresnext101_64x4d	70.44	29.56	89.35	10.65	88.23	224	0.875	bicubic
85	senet154	70.48	29.52	88.99	11.01	115.09	224	0.875	bilinear
86	gluon_senet154	70.6	29.4	88.92	11.08	115.09	224	0.875	bicubic
87	tf_efficientnet_b3	70.62	29.38	89.44	10.56	12.23	300	0.904	bicubic
88	tf_efficientnet_b4	72.28	27.72	90.6	9.4	19.34	380	0.922	bicubic
89	nasnetalarge	72.31	27.69	90.51	9.49	88.75	331	0.875	bicubic
90	pnasnet5large	72.37	27.63	90.26	9.74	86.06	331	0.875	bicubic
91	tf_efficientnet_b5	73.37	26.63	91.21	8.79	30.39	456	0.934	bicubic
92	ig_resnext101_32x8d	73.66	26.34	92.15	7.85	88.79	224	0.875	bilinear
93	tf_efficientnet_b6	73.9	26.1	91.75	8.25	43.04	528	0.942	bicubic
94	tf_efficientnet_b7	74.04	25.96	91.86	8.14	66.35	600	0.949	bicubic
95	ig_resnext101_32x16d	75.71	24.29	92.9	7.1	194.03	224	0.875	bilinear
96	ig_resnext101_32x32d	76.84	23.16	93.19	6.81	468.53	224	0.875	bilinear
97	ig_resnext101_32x48d	76.87	23.13	93.32	6.68	828.41	224	0.875	bilinear