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	resnet26	63.45	36.55	84.27	15.73	16	224	0.875	bicubic
17	tf_efficientnet_b0	63.53	36.47	84.88	15.12	5.29	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	efficientnet_b0	64.58	35.42	85.89	14.11	5.29	224	0.875	bicubic
22	resnet26d	64.63	35.37	85.12	14.88	16.01	224	0.875	bicubic
23	densenet169	64.78	35.22	85.25	14.75	14.15	224	0.875	bicubic
24	seresnext26_32x4d	65.04	34.96	85.65	14.35	16.79	224	0.875	bicubic
25	densenet201	65.28	34.72	85.67	14.33	20.01	224	0.875	bicubic
26	dpn68b	65.6	34.4	85.94	14.06	12.61	224	0.875	bicubic
27	resnet101	65.68	34.32	85.98	14.02	44.55	224	0.875	bilinear
28	densenet161	65.85	34.15	86.46	13.54	28.68	224	0.875	bicubic
29	gluon_resnet50_v1b	66.04	33.96	86.27	13.73	25.56	224	0.875	bicubic
30	inception_v3	66.12	33.88	86.34	13.66	27.16	299	0.875	bicubic
31	tv_resnext50_32x4d	66.18	33.82	86.04	13.96	25.03	224	0.875	bilinear
32	seresnet50	66.24	33.76	86.33	13.67	28.09	224	0.875	bilinear
33	tf_inception_v3	66.41	33.59	86.68	13.32	23.83	299	0.875	bicubic
34	tf_efficientnet_b1	66.52	33.48	86.68	13.32	7.79	240	0.882	bicubic
35	gluon_resnet50_v1c	66.54	33.46	86.16	13.84	25.58	224	0.875	bicubic
36	adv_inception_v3	66.6	33.4	86.56	13.44	23.83	299	0.875	bicubic
37	wide_resnet50_2	66.65	33.35	86.81	13.19	68.88	224	0.875	bilinear
38	wide_resnet101_2	66.68	33.32	87.04	12.96	126.89	224	0.875	bilinear
39	tf_mixnet_l	66.78	33.22	86.46	13.54	7.33	224	0.875	bicubic
40	resnet50	66.81	33.19	87	13	25.56	224	0.875	bicubic
41	resnext50_32x4d	66.88	33.12	86.36	13.64	25.03	224	0.875	bicubic
42	resnet152	67.02	32.98	87.57	12.43	60.19	224	0.875	bilinear
43	gluon_resnet50_v1s	67.1	32.9	86.86	13.14	25.68	224	0.875	bicubic
44	seresnet101	67.15	32.85	87.05	12.95	49.33	224	0.875	bilinear
45	tf_efficientnet_b2	67.4	32.6	87.58	12.42	9.11	260	0.89	bicubic
46	gluon_resnet101_v1b	67.45	32.55	87.23	12.77	44.55	224	0.875	bicubic
47	efficientnet_b1	67.55	32.45	87.29	12.71	7.79	240	0.882	bicubic
48	seresnet152	67.55	32.45	87.39	12.61	66.82	224	0.875	bilinear
49	gluon_resnet101_v1c	67.56	32.44	87.16	12.84	44.57	224	0.875	bicubic
50	gluon_inception_v3	67.59	32.41	87.46	12.54	23.83	299	0.875	bicubic
51	xception	67.67	32.33	87.57	12.43	22.86	299	0.8975	bicubic
52	efficientnet_b2	67.8	32.2	88.2	11.8	9.11	260	0.89	bicubic
53	resnext101_32x8d	67.85	32.15	87.48	12.52	88.79	224	0.875	bilinear
54	seresnext50_32x4d	67.87	32.13	87.62	12.38	27.56	224	0.875	bilinear
55	gluon_resnet50_v1d	67.91	32.09	87.12	12.88	25.58	224	0.875	bicubic
56	dpn92	68.01	31.99	87.59	12.41	37.67	224	0.875	bicubic
57	gluon_resnext50_32x4d	68.28	31.72	87.32	12.68	25.03	224	0.875	bicubic
58	tf_efficientnet_b3	68.52	31.48	88.7	11.3	12.23	300	0.904	bicubic
59	dpn98	68.58	31.42	87.66	12.34	61.57	224	0.875	bicubic
60	gluon_seresnext50_32x4d	68.67	31.33	88.32	11.68	27.56	224	0.875	bicubic
61	dpn107	68.71	31.29	88.13	11.87	86.92	224	0.875	bicubic
62	gluon_resnet101_v1s	68.72	31.28	87.9	12.1	44.67	224	0.875	bicubic
63	resnext50d_32x4d	68.75	31.25	88.31	11.69	25.05	224	0.875	bicubic
64	dpn131	68.76	31.24	87.48	12.52	79.25	224	0.875	bicubic
65	gluon_resnet152_v1b	68.81	31.19	87.71	12.29	60.19	224	0.875	bicubic
66	gluon_resnext101_32x4d	68.96	31.04	88.34	11.66	44.18	224	0.875	bicubic
67	gluon_resnet101_v1d	68.99	31.01	88.08	11.92	44.57	224	0.875	bicubic
68	gluon_resnet152_v1c	69.13	30.87	87.89	12.11	60.21	224	0.875	bicubic
69	seresnext101_32x4d	69.34	30.66	88.05	11.95	48.96	224	0.875	bilinear
70	inception_v4	69.35	30.65	88.78	11.22	42.68	299	0.875	bicubic
71	ens_adv_inception_resnet_v2	69.52	30.48	88.5	11.5	55.84	299	0.8975	bicubic
72	gluon_resnext101_64x4d	69.69	30.31	88.26	11.74	83.46	224	0.875	bicubic
73	gluon_resnet152_v1d	69.95	30.05	88.47	11.53	60.21	224	0.875	bicubic
74	gluon_seresnext101_32x4d	70.01	29.99	88.91	11.09	48.96	224	0.875	bicubic
75	inception_resnet_v2	70.12	29.88	88.68	11.32	55.84	299	0.8975	bicubic
76	gluon_resnet152_v1s	70.32	29.68	88.87	11.13	60.32	224	0.875	bicubic
77	gluon_seresnext101_64x4d	70.44	29.56	89.35	10.65	88.23	224	0.875	bicubic
78	senet154	70.48	29.52	88.99	11.01	115.09	224	0.875	bilinear
79	gluon_senet154	70.6	29.4	88.92	11.08	115.09	224	0.875	bicubic
80	tf_efficientnet_b4	71.34	28.66	90.11	9.89	19.34	380	0.922	bicubic
81	nasnetalarge	72.31	27.69	90.51	9.49	88.75	331	0.875	bicubic
82	pnasnet5large	72.37	27.63	90.26	9.74	86.06	331	0.875	bicubic
83	tf_efficientnet_b5	72.56	27.44	91.1	8.9	30.39	456	0.934	bicubic
84	ig_resnext101_32x8d	73.66	26.34	92.15	7.85	88.79	224	0.875	bilinear
85	ig_resnext101_32x16d	75.71	24.29	92.9	7.1	194.03	224	0.875	bilinear
86	ig_resnext101_32x32d	76.84	23.16	93.19	6.81	468.53	224	0.875	bilinear
87	ig_resnext101_32x48d	76.87	23.13	93.32	6.68	828.41	224	0.875	bilinear