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	80.47	19.53	95.73	4.27	480.31	475	0.936	bicubic
3	tf_efficientnet_l2_ns	80.25	19.75	95.85	4.15	480.31	800	0.96	bicubic
4	tf_efficientnet_b7_ns	78.52	21.48	94.37	5.63	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	93.32	6.68	828.41	224	0.875	bilinear
7	ig_resnext101_32x32d	76.84	23.16	93.19	6.81	468.53	224	0.875	bilinear
8	tf_efficientnet_b5_ns	76.82	23.18	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	75.71	24.29	92.9	7.1	194.03	224	0.875	bilinear
12	tf_efficientnet_b4_ns	75.69	24.31	93.04	6.96	19.34	380	0.922	bicubic
13	swsl_resnext101_32x8d	75.45	24.55	92.75	7.25	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	74.93	25.07	92.32	7.68	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	74.59	25.41	91.99	8.01	30.39	456	0.934	bicubic
18	swsl_resnext101_32x4d	74.15	25.85	91.99	8.01	44.18	224	0.875	bilinear
19	swsl_resnext101_32x16d	74.01	25.99	92.17	7.83	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	73.87	26.13	91.86	8.14	12.23	300	0.904	bicubic
22	ig_resnext101_32x8d	73.66	26.34	92.15	7.85	88.79	224	0.875	bilinear
23	tf_efficientnet_b5	73.54	26.46	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	72.58	27.42	90.84	9.16	25.03	224	0.875	bilinear
26	tresnet_xl_448	72.55	27.45	90.31	9.69	78.44	448	0.875	bilinear
27	pnasnet5large	72.37	27.63	90.26	9.74	86.06	331	0.875	bicubic
28	nasnetalarge	72.31	27.69	90.51	9.49	88.75	331	0.875	bicubic
29	tf_efficientnet_b4	72.28	27.72	90.6	9.4	19.34	380	0.922	bicubic
30	tf_efficientnet_b2_ns	72.27	27.73	91.09	8.91	9.11	260	0.89	bicubic
31	swsl_resnet50	71.69	28.31	90.51	9.49	25.56	224	0.875	bilinear
32	tresnet_xl	71.65	28.35	89.63	10.37	78.44	224	0.875	bilinear
33	tresnet_l_448	71.6	28.4	90.06	9.94	55.99	448	0.875	bilinear
34	ecaresnet101d	71.5	28.5	90.31	9.69	44.57	224	0.875	bicubic
35	ssl_resnext101_32x8d	71.49	28.51	90.47	9.53	88.79	224	0.875	bilinear
36	ssl_resnext101_32x16d	71.4	28.6	90.55	9.45	194.03	224	0.875	bilinear
37	tresnet_m_448	71	29	88.68	11.32	31.39	448	0.875	bilinear
38	tf_efficientnet_b3_ap	70.92	29.08	89.43	10.57	12.23	300	0.904	bicubic
39	efficientnet_b3a	70.87	29.13	89.72	10.28	12.23	320	1	bicubic
40	tf_efficientnet_b1_ns	70.85	29.15	90.11	9.89	7.79	240	0.882	bicubic
41	tresnet_l	70.83	29.17	89.61	10.39	55.99	224	0.875	bilinear
42	efficientnet_b3	70.76	29.24	89.84	10.16	12.23	300	0.904	bicubic
43	tf_efficientnet_b3	70.62	29.38	89.44	10.56	12.23	300	0.904	bicubic
44	gluon_senet154	70.6	29.4	88.92	11.08	115.09	224	0.875	bicubic
45	ssl_resnext101_32x4d	70.5	29.5	89.76	10.24	44.18	224	0.875	bilinear
46	senet154	70.48	29.52	88.99	11.01	115.09	224	0.875	bilinear
47	gluon_seresnext101_64x4d	70.44	29.56	89.35	10.65	88.23	224	0.875	bicubic
48	tf_efficientnet_lite4	70.43	29.57	89.12	10.88	13.01	380	0.92	bilinear
49	gluon_resnet152_v1s	70.32	29.68	88.87	11.13	60.32	224	0.875	bicubic
50	ecaresnet101d_pruned	70.12	29.88	89.58	10.42	24.88	224	0.875	bicubic
51	inception_resnet_v2	70.12	29.88	88.68	11.32	55.84	299	0.8975	bicubic
52	gluon_seresnext101_32x4d	70.01	29.99	88.91	11.09	48.96	224	0.875	bicubic
53	gluon_resnet152_v1d	69.95	30.05	88.47	11.53	60.21	224	0.875	bicubic
54	ecaresnet50d	69.83	30.17	89.37	10.63	25.58	224	0.875	bicubic
55	gluon_resnext101_64x4d	69.69	30.31	88.26	11.74	83.46	224	0.875	bicubic
56	ssl_resnext50_32x4d	69.69	30.31	89.42	10.58	25.03	224	0.875	bilinear
57	tresnet_m	69.65	30.35	88	12	31.39	224	0.875	bilinear
58	efficientnet_b3_pruned	69.58	30.42	88.97	11.03	9.86	300	0.904	bicubic
59	ens_adv_inception_resnet_v2	69.52	30.48	88.5	11.5	55.84	299	0.8975	bicubic
60	efficientnet_b2a	69.49	30.51	88.68	11.32	9.11	288	1	bicubic
61	inception_v4	69.35	30.65	88.78	11.22	42.68	299	0.875	bicubic
62	seresnext101_32x4d	69.34	30.66	88.05	11.95	48.96	224	0.875	bilinear
63	ecaresnetlight	69.33	30.67	89.22	10.78	30.16	224	0.875	bicubic
64	gluon_resnet152_v1c	69.13	30.87	87.89	12.11	60.21	224	0.875	bicubic
65	mixnet_xl	69.08	30.92	88.31	11.69	11.9	224	0.875	bicubic
66	efficientnet_b2	69	31	88.62	11.38	9.11	260	0.875	bicubic
67	gluon_resnet101_v1d	68.99	31.01	88.08	11.92	44.57	224	0.875	bicubic
68	gluon_xception65	68.98	31.02	88.32	11.68	39.92	299	0.875	bicubic
69	gluon_resnext101_32x4d	68.96	31.04	88.34	11.66	44.18	224	0.875	bicubic
70	tf_efficientnet_b2_ap	68.93	31.07	88.34	11.66	9.11	260	0.89	bicubic
71	gluon_resnet152_v1b	68.81	31.19	87.71	12.29	60.19	224	0.875	bicubic
72	dpn131	68.76	31.24	87.48	12.52	79.25	224	0.875	bicubic
73	resnext50d_32x4d	68.75	31.25	88.31	11.69	25.05	224	0.875	bicubic
74	tf_efficientnet_b2	68.75	31.25	87.95	12.05	9.11	260	0.89	bicubic
75	gluon_resnet101_v1s	68.72	31.28	87.9	12.1	44.67	224	0.875	bicubic
76	dpn107	68.71	31.29	88.13	11.87	86.92	224	0.875	bicubic
77	gluon_seresnext50_32x4d	68.67	31.33	88.32	11.68	27.56	224	0.875	bicubic
78	hrnet_w64	68.63	31.37	88.07	11.93	128.06	224	0.875	bilinear
79	resnext50_32x4d	68.61	31.39	87.57	12.43	25.03	224	0.875	bicubic
80	dpn98	68.58	31.42	87.66	12.34	61.57	224	0.875	bicubic
81	ssl_resnet50	68.42	31.58	88.58	11.42	25.56	224	0.875	bilinear
82	ecaresnet50d_pruned	68.39	31.61	88.37	11.63	19.94	224	0.875	bicubic
83	skresnext50_32x4d	68.39	31.61	87.59	12.41	27.48	224	0.875	bicubic
84	dla102x2	68.34	31.66	87.87	12.13	41.75	224	0.875	bilinear
85	efficientnet_b2_pruned	68.3	31.7	88.1	11.9	8.31	260	0.89	bicubic
86	gluon_resnext50_32x4d	68.28	31.72	87.32	12.68	25.03	224	0.875	bicubic
87	tf_efficientnet_lite3	68.23	31.77	87.72	12.28	8.2	300	0.904	bilinear
88	tf_efficientnet_el	68.18	31.82	88.35	11.65	10.59	300	0.904	bicubic
89	dpn92	68.01	31.99	87.59	12.41	37.67	224	0.875	bicubic
90	gluon_resnet50_v1d	67.91	32.09	87.12	12.88	25.58	224	0.875	bicubic
91	seresnext50_32x4d	67.87	32.13	87.62	12.38	27.56	224	0.875	bilinear
92	resnext101_32x8d	67.85	32.15	87.48	12.52	88.79	224	0.875	bilinear
93	hrnet_w44	67.77	32.23	87.53	12.47	67.06	224	0.875	bilinear
94	hrnet_w48	67.77	32.23	87.42	12.58	77.47	224	0.875	bilinear
95	tf_efficientnet_b0_ns	67.72	32.28	88.08	11.92	5.29	224	0.875	bicubic
96	xception	67.67	32.33	87.57	12.43	22.86	299	0.8975	bicubic
97	dla169	67.61	32.39	87.56	12.44	53.99	224	0.875	bilinear
98	gluon_inception_v3	67.59	32.41	87.46	12.54	23.83	299	0.875	bicubic
99	hrnet_w40	67.59	32.41	87.13	12.87	57.56	224	0.875	bilinear
100	gluon_resnet101_v1c	67.56	32.44	87.16	12.84	44.57	224	0.875	bicubic
101	seresnet152	67.55	32.45	87.39	12.61	66.82	224	0.875	bilinear
102	res2net50_26w_8s	67.53	32.47	87.27	12.73	48.4	224	0.875	bilinear
103	tf_efficientnet_b1_ap	67.52	32.48	87.77	12.23	7.79	240	0.882	bicubic
104	tf_efficientnet_cc_b1_8e	67.48	32.52	87.31	12.69	39.72	240	0.882	bicubic
105	gluon_resnet101_v1b	67.45	32.55	87.23	12.77	44.55	224	0.875	bicubic
106	res2net101_26w_4s	67.45	32.55	87.01	12.99	45.21	224	0.875	bilinear
107	resnetblur50	67.44	32.56	87.43	12.57	25.56	224	0.875	bicubic
108	resnet50	67.44	32.56	87.42	12.58	25.56	224	0.875	bicubic
109	efficientnet_b1	67.16	32.84	87.15	12.85	7.79	240	0.875	bicubic
110	seresnet101	67.15	32.85	87.05	12.95	49.33	224	0.875	bilinear
111	gluon_resnet50_v1s	67.1	32.9	86.86	13.14	25.68	224	0.875	bicubic
112	dla60x	67.08	32.92	87.17	12.83	17.65	224	0.875	bilinear
113	dla60_res2net	67.03	32.97	87.14	12.86	21.15	224	0.875	bilinear
114	resnet152	67.02	32.98	87.57	12.43	60.19	224	0.875	bilinear
115	dla102x	67	33	86.77	13.23	26.77	224	0.875	bilinear
116	mixnet_l	66.97	33.03	86.94	13.06	7.33	224	0.875	bicubic
117	res2net50_26w_6s	66.91	33.09	86.9	13.1	37.05	224	0.875	bilinear
118	efficientnet_es	66.89	33.11	86.73	13.27	5.44	224	0.875	bicubic
119	tf_efficientnet_b1	66.89	33.11	87.04	12.96	7.79	240	0.882	bicubic
120	tf_efficientnet_em	66.87	33.13	86.98	13.02	6.9	240	0.882	bicubic
121	hrnet_w32	66.79	33.21	87.29	12.71	41.23	224	0.875	bilinear
122	tf_mixnet_l	66.78	33.22	86.46	13.54	7.33	224	0.875	bicubic
123	hrnet_w30	66.76	33.24	86.79	13.21	37.71	224	0.875	bilinear
124	selecsls60b	66.72	33.28	86.54	13.46	32.77	224	0.875	bicubic
125	wide_resnet101_2	66.68	33.32	87.04	12.96	126.89	224	0.875	bilinear
126	wide_resnet50_2	66.65	33.35	86.81	13.19	68.88	224	0.875	bilinear
127	dla60_res2next	66.64	33.36	87.02	12.98	17.33	224	0.875	bilinear
128	adv_inception_v3	66.6	33.4	86.56	13.44	23.83	299	0.875	bicubic
129	dla102	66.55	33.45	86.91	13.09	33.73	224	0.875	bilinear
130	gluon_resnet50_v1c	66.54	33.46	86.16	13.84	25.58	224	0.875	bicubic
131	tf_inception_v3	66.41	33.59	86.68	13.32	23.83	299	0.875	bicubic
132	efficientnet_b0	66.25	33.75	85.95	14.05	5.29	224	0.875	bicubic
133	seresnet50	66.24	33.76	86.33	13.67	28.09	224	0.875	bilinear
134	selecsls60	66.22	33.78	86.33	13.67	30.67	224	0.875	bicubic
135	tf_efficientnet_cc_b0_8e	66.21	33.79	86.22	13.78	24.01	224	0.875	bicubic
136	tv_resnext50_32x4d	66.18	33.82	86.04	13.96	25.03	224	0.875	bilinear
137	res2net50_26w_4s	66.17	33.83	86.6	13.4	25.7	224	0.875	bilinear
138	inception_v3	66.12	33.88	86.34	13.66	27.16	299	0.875	bicubic
139	efficientnet_b1_pruned	66.08	33.92	86.58	13.42	6.33	240	0.882	bicubic
140	gluon_resnet50_v1b	66.04	33.96	86.27	13.73	25.56	224	0.875	bicubic
141	res2net50_14w_8s	66.02	33.98	86.24	13.76	25.06	224	0.875	bilinear
142	densenet161	65.85	34.15	86.46	13.54	28.68	224	0.875	bicubic
143	res2next50	65.85	34.15	85.83	14.17	24.67	224	0.875	bilinear
144	seresnext26tn_32x4d	65.85	34.15	85.68	14.32	16.81	224	0.875	bicubic
145	skresnet34	65.77	34.23	85.96	14.04	22.28	224	0.875	bicubic
146	resnet101	65.68	34.32	85.98	14.02	44.55	224	0.875	bilinear
147	dpn68b	65.6	34.4	85.94	14.06	12.61	224	0.875	bicubic
148	seresnext26t_32x4d	65.6	34.4	86.09	13.91	16.82	224	0.875	bicubic
149	selecsls42b	65.59	34.41	85.83	14.17	32.46	224	0.875	bicubic
150	tf_efficientnet_b0_ap	65.49	34.51	85.55	14.45	5.29	224	0.875	bicubic
151	seresnext26d_32x4d	65.42	34.58	85.97	14.03	16.81	224	0.875	bicubic
152	tf_efficientnet_lite2	65.39	34.61	86.03	13.97	6.09	260	0.89	bicubic
153	res2net50_48w_2s	65.32	34.68	85.96	14.04	25.29	224	0.875	bilinear
154	densenet201	65.28	34.72	85.67	14.33	20.01	224	0.875	bicubic
155	tf_efficientnet_es	65.24	34.76	85.54	14.46	5.44	224	0.875	bicubic
156	dla60	65.22	34.78	85.75	14.25	22.33	224	0.875	bilinear
157	tf_efficientnet_cc_b0_4e	65.13	34.87	85.13	14.87	13.31	224	0.875	bicubic
158	mobilenetv2_120d	65.04	34.96	85.99	14.01	5.83	224	0.875	bicubic
159	seresnext26_32x4d	65.04	34.96	85.65	14.35	16.79	224	0.875	bicubic
160	hrnet_w18	64.91	35.09	85.75	14.25	21.3	224	0.875	bilinear
161	densenet169	64.78	35.22	85.25	14.75	14.15	224	0.875	bicubic
162	mixnet_m	64.69	35.31	85.47	14.53	5.01	224	0.875	bicubic
163	resnet26d	64.63	35.37	85.12	14.88	16.01	224	0.875	bicubic
164	tf_efficientnet_lite1	64.37	35.63	85.49	14.51	5.42	240	0.882	bicubic
165	tf_efficientnet_b0	64.29	35.71	85.25	14.75	5.29	224	0.875	bicubic
166	tf_mixnet_m	64.27	35.73	85.09	14.91	5.01	224	0.875	bicubic
167	dpn68	64.22	35.78	85.18	14.82	12.61	224	0.875	bicubic
168	mobilenetv2_140	64.05	35.95	85.02	14.98	6.11	224	0.875	bicubic
169	tf_mixnet_s	63.59	36.41	84.27	15.73	4.13	224	0.875	bicubic
170	resnet26	63.45	36.55	84.27	15.73	16	224	0.875	bicubic
171	mixnet_s	63.38	36.62	84.71	15.29	4.13	224	0.875	bicubic
172	mobilenetv3_large_100	63.36	36.64	84.08	15.92	5.48	224	0.875	bicubic
173	tv_resnet50	63.33	36.67	84.65	15.35	25.56	224	0.875	bilinear
174	mobilenetv3_rw	63.23	36.77	84.52	15.48	5.48	224	0.875	bicubic
175	semnasnet_100	63.12	36.88	84.53	15.47	3.89	224	0.875	bicubic
176	densenet121	62.94	37.06	84.26	15.74	7.98	224	0.875	bicubic
177	seresnet34	62.89	37.11	84.22	15.78	21.96	224	0.875	bilinear
178	hrnet_w18_small_v2	62.83	37.17	83.97	16.03	15.6	224	0.875	bilinear
179	mobilenetv2_110d	62.82	37.18	84.48	15.52	4.52	224	0.875	bicubic
180	resnet34	62.82	37.18	84.12	15.88	21.8	224	0.875	bilinear
181	swsl_resnet18	62.73	37.27	84.3	15.7	11.69	224	0.875	bilinear
182	tf_efficientnet_lite0	62.58	37.42	84.25	15.75	4.65	224	0.875	bicubic
183	gluon_resnet34_v1b	62.56	37.44	84	16	21.8	224	0.875	bicubic
184	dla34	62.51	37.49	83.92	16.08	15.78	224	0.875	bilinear
185	tf_mobilenetv3_large_100	62.47	37.53	83.96	16.04	5.48	224	0.875	bilinear
186	fbnetc_100	62.43	37.57	83.39	16.61	5.57	224	0.875	bilinear
187	mnasnet_100	61.91	38.09	83.71	16.29	4.38	224	0.875	bicubic
188	ssl_resnet18	61.49	38.51	83.33	16.67	11.69	224	0.875	bilinear
189	spnasnet_100	61.21	38.79	82.77	17.23	4.42	224	0.875	bilinear
190	tv_resnet34	61.2	38.8	82.72	17.28	21.8	224	0.875	bilinear
191	skresnet18	60.85	39.15	82.88	17.12	11.96	224	0.875	bicubic
192	tf_mobilenetv3_large_075	60.38	39.62	81.96	18.04	3.99	224	0.875	bilinear
193	mobilenetv2_100	60.16	39.84	82.24	17.76	3.5	224	0.875	bicubic
194	seresnet18	59.81	40.19	81.68	18.32	11.78	224	0.875	bicubic
195	tf_mobilenetv3_large_minimal_100	59.07	40.93	81.14	18.86	3.92	224	0.875	bilinear
196	hrnet_w18_small	58.97	41.03	81.34	18.66	13.19	224	0.875	bilinear
197	gluon_resnet18_v1b	58.32	41.68	80.96	19.04	11.69	224	0.875	bicubic
198	resnet18	57.18	42.82	80.19	19.81	11.69	224	0.875	bilinear
199	dla60x_c	56.02	43.98	78.96	21.04	1.34	224	0.875	bilinear
200	tf_mobilenetv3_small_100	54.51	45.49	77.08	22.92	2.54	224	0.875	bilinear
201	dla46x_c	53.08	46.92	76.84	23.16	1.08	224	0.875	bilinear
202	dla46_c	52.2	47.8	75.68	24.32	1.31	224	0.875	bilinear
203	tf_mobilenetv3_small_075	52.15	47.85	75.46	24.54	2.04	224	0.875	bilinear
204	tf_mobilenetv3_small_minimal_100	49.53	50.47	73.05	26.95	2.04	224	0.875	bilinear