pytorch-image-models/results/results-imagenet-a.csv

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	tf_efficientnet_l2_ns_475	62.3867	37.6133	87.1067	12.8933	480.31	475	0.936	bicubic
3	tf_efficientnet_l2_ns	62.0267	37.9733	87.96	12.04	480.31	800	0.96	bicubic
4	tf_efficientnet_b7_ns	45.72	54.28	74.2	25.8	66.35	600	0.949	bicubic
5	ig_resnext101_32x48d	41.5733	58.4267	66.6133	33.3867	828.41	224	0.875	bilinear
6	tf_efficientnet_b6_ns	40.4267	59.5733	68.84	31.16	43.04	528	0.942	bicubic
7	ig_resnext101_32x32d	39.4133	60.5867	63.76	36.24	468.53	224	0.875	bilinear
8	tf_efficientnet_b5_ns	39.0133	60.9867	68.04	31.96	30.39	456	0.934	bicubic
9	ig_resnext101_32x16d	36.0533	63.9467	59.04	40.96	194.03	224	0.875	bilinear
10	swsl_resnext101_32x8d	32.0667	67.9333	59.4	40.6	88.79	224	0.875	bilinear
11	tf_efficientnet_b4_ns	30.8	69.2	59.44	40.56	19.34	380	0.922	bicubic
12	tf_efficientnet_b8_ap	29.6	70.4	56.9333	43.0667	87.41	672	0.954	bicubic
13	tf_efficientnet_b8	29.3733	70.6267	57.0667	42.9333	87.41	672	0.954	bicubic
14	ig_resnext101_32x8d	28.7067	71.2933	52.32	47.68	88.79	224	0.875	bilinear
15	swsl_resnext101_32x16d	27.9467	72.0533	52.32	47.68	194.03	224	0.875	bilinear
16	tf_efficientnet_b7_ap	27.8133	72.1867	54.7733	45.2267	66.35	600	0.949	bicubic
17	tresnet_xl_448	26.88	73.12	51.0933	48.9067	78.44	448	0.875	bilinear
18	swsl_resnext101_32x4d	25.3467	74.6533	49.6267	50.3733	44.18	224	0.875	bilinear
19	tf_efficientnet_b7	25.2533	74.7467	51.6667	48.3333	66.35	600	0.949	bicubic
20	tresnet_l_448	24.5733	75.4267	48.6	51.4	55.99	448	0.875	bilinear
21	tf_efficientnet_b6_ap	24.3467	75.6533	50.4267	49.5733	43.04	528	0.942	bicubic
22	tf_efficientnet_b6	20.3733	79.6267	45.4933	54.5067	43.04	528	0.942	bicubic
23	tresnet_m_448	19.68	80.32	42.76	57.24	31.39	448	0.875	bilinear
24	tf_efficientnet_b5_ap	19.4667	80.5333	44.72	55.28	30.39	456	0.934	bicubic
25	tf_efficientnet_b3_ns	19.4133	80.5867	44.6267	55.3733	12.23	300	0.904	bicubic
26	swsl_resnext50_32x4d	18.0667	81.9333	41.8667	58.1333	25.03	224	0.875	bilinear
27	ssl_resnext101_32x16d	17.2133	82.7867	39.9467	60.0533	194.03	224	0.875	bilinear
28	tf_efficientnet_b5	17.0667	82.9333	41.9067	58.0933	30.39	456	0.934	bicubic
29	swsl_resnet50	15.9867	84.0133	38.8533	61.1467	25.56	224	0.875	bilinear
30	ssl_resnext101_32x8d	15.12	84.88	37.72	62.28	88.79	224	0.875	bilinear
31	tf_efficientnet_b4_ap	13.68	86.32	35.92	64.08	19.34	380	0.922	bicubic
32	ecaresnet101d	13.3067	86.6933	35.5333	64.4667	44.57	224	0.875	bicubic
33	tf_efficientnet_b4	13.3067	86.6933	35.52	64.48	19.34	380	0.922	bicubic
34	pnasnet5large	13.08	86.92	32.2133	67.7867	86.06	331	0.875	bicubic
35	nasnetalarge	12.5733	87.4267	33.4133	66.5867	88.75	331	0.875	bicubic
36	ssl_resnext101_32x4d	12.12	87.88	31.8933	68.1067	44.18	224	0.875	bilinear
37	tf_efficientnet_b2_ns	11.7867	88.2133	32.96	67.04	9.11	260	0.89	bicubic
38	gluon_senet154	9.9067	90.0933	26.4533	73.5467	115.09	224	0.875	bicubic
39	ssl_resnext50_32x4d	9.6667	90.3333	28.4267	71.5733	25.03	224	0.875	bilinear
40	senet154	9.4533	90.5467	26.44	73.56	115.09	224	0.875	bilinear
41	tresnet_xl	9.3067	90.6933	28.4133	71.5867	78.44	224	0.875	bilinear
42	efficientnet_b3a	9.2667	90.7333	28.4267	71.5733	12.23	320	1	bicubic
43	efficientnet_b3	8.9467	91.0533	28.2133	71.7867	12.23	300	0.904	bicubic
44	inception_v4	8.92	91.08	24.7067	75.2933	42.68	299	0.875	bicubic
45	gluon_seresnext101_64x4d	8.8667	91.1333	27.32	72.68	88.23	224	0.875	bicubic
46	tf_efficientnet_b1_ns	8.6133	91.3867	27.28	72.72	7.79	240	0.882	bicubic
47	ecaresnet50d	8.5067	91.4933	26.2667	73.7333	25.58	224	0.875	bicubic
48	gluon_xception65	8.4667	91.5333	25.1333	74.8667	39.92	299	0.875	bicubic
49	gluon_resnet152_v1d	8.4133	91.5867	23.4533	76.5467	60.21	224	0.875	bicubic
50	inception_resnet_v2	8.16	91.84	23.5333	76.4667	55.84	299	0.8975	bicubic
51	tf_efficientnet_b3_ap	8.1333	91.8667	26.28	73.72	12.23	300	0.904	bicubic
52	gluon_seresnext101_32x4d	8.04	91.96	24.7333	75.2667	48.96	224	0.875	bicubic
53	tf_efficientnet_b3	8.0133	91.9867	25.4667	74.5333	12.23	300	0.904	bicubic
54	ens_adv_inception_resnet_v2	7.9867	92.0133	23.8267	76.1733	55.84	299	0.8975	bicubic
55	tf_efficientnet_lite4	7.9333	92.0667	25.56	74.44	13.01	380	0.92	bilinear
56	tresnet_l	7.88	92.12	25.1867	74.8133	55.99	224	0.875	bilinear
57	gluon_resnet152_v1s	7.8667	92.1333	23.1733	76.8267	60.32	224	0.875	bicubic
58	gluon_resnext101_64x4d	7.7067	92.2933	23.24	76.76	83.46	224	0.875	bicubic
59	skresnext50_32x4d	7.08	92.92	23.0267	76.9733	27.48	224	0.875	bicubic
60	ssl_resnet50	7	93	23.92	76.08	25.56	224	0.875	bilinear
61	ecaresnet101d_pruned	6.8	93.2	24.2	75.8	24.88	224	0.875	bicubic
62	ecaresnetlight	6.76	93.24	22.56	77.44	30.16	224	0.875	bicubic
63	efficientnet_b2a	6.76	93.24	23.4933	76.5067	9.11	288	1	bicubic
64	seresnext101_32x4d	6.4133	93.5867	21.52	78.48	48.96	224	0.875	bilinear
65	efficientnet_b2	6.0933	93.9067	21.9333	78.0667	9.11	260	0.875	bicubic
66	gluon_resnext101_32x4d	6.04	93.96	21.1333	78.8667	44.18	224	0.875	bicubic
67	gluon_resnet101_v1d	5.92	94.08	19.9467	80.0533	44.57	224	0.875	bicubic
68	gluon_seresnext50_32x4d	5.7867	94.2133	21.4267	78.5733	27.56	224	0.875	bicubic
69	gluon_inception_v3	5.5067	94.4933	19.9467	80.0533	23.83	299	0.875	bicubic
70	mixnet_xl	5.48	94.52	21.0933	78.9067	11.9	224	0.875	bicubic
71	tresnet_m	5.44	94.56	19.96	80.04	31.39	224	0.875	bilinear
72	gluon_resnet101_v1s	5.28	94.72	19.5467	80.4533	44.67	224	0.875	bicubic
73	hrnet_w64	5.1333	94.8667	19.4533	80.5467	128.06	224	0.875	bilinear
74	dpn107	4.88	95.12	17.6133	82.3867	86.92	224	0.875	bicubic
75	gluon_resnet152_v1c	4.8667	95.1333	17.7733	82.2267	60.21	224	0.875	bicubic
76	adv_inception_v3	4.7467	95.2533	17.5467	82.4533	23.83	299	0.875	bicubic
77	dla102x2	4.7467	95.2533	18.96	81.04	41.75	224	0.875	bilinear
78	tf_inception_v3	4.7467	95.2533	17.7467	82.2533	23.83	299	0.875	bicubic
79	hrnet_w48	4.72	95.28	18.44	81.56	77.47	224	0.875	bilinear
80	dpn131	4.64	95.36	16.8667	83.1333	79.25	224	0.875	bicubic
81	gluon_resnet152_v1b	4.5867	95.4133	16.5333	83.4667	60.19	224	0.875	bicubic
82	ecaresnet50d_pruned	4.5467	95.4533	18.5467	81.4533	19.94	224	0.875	bicubic
83	dpn92	4.4933	95.5067	18.2	81.8	37.67	224	0.875	bicubic
84	hrnet_w44	4.4933	95.5067	17.3467	82.6533	67.06	224	0.875	bilinear
85	resnext50d_32x4d	4.3467	95.6533	17.7733	82.2267	25.05	224	0.875	bicubic
86	xception	4.3467	95.6533	16.76	83.24	22.86	299	0.8975	bicubic
87	seresnext50_32x4d	4.28	95.72	17.8133	82.1867	27.56	224	0.875	bilinear
88	resnext50_32x4d	4.2533	95.7467	18.3867	81.6133	25.03	224	0.875	bicubic
89	tf_efficientnet_cc_b1_8e	4.24	95.76	15.9467	84.0533	39.72	240	0.882	bicubic
90	tf_efficientnet_el	4.2267	95.7733	18.1733	81.8267	10.59	300	0.904	bicubic
91	inception_v3	4.2	95.8	16.2933	83.7067	27.16	299	0.875	bicubic
92	tf_efficientnet_b2_ap	4.1733	95.8267	18.32	81.68	9.11	260	0.89	bicubic
93	seresnet152	4.1467	95.8533	15.8933	84.1067	66.82	224	0.875	bilinear
94	resnext101_32x8d	4.1333	95.8667	16.9867	83.0133	88.79	224	0.875	bilinear
95	tf_efficientnet_b0_ns	4.1333	95.8667	17.68	82.32	5.29	224	0.875	bicubic
96	dpn98	4.08	95.92	15.9467	84.0533	61.57	224	0.875	bicubic
97	res2net101_26w_4s	4	96	14.8267	85.1733	45.21	224	0.875	bilinear
98	efficientnet_b1	3.9733	96.0267	15.76	84.24	7.79	240	0.875	bicubic
99	tf_efficientnet_lite3	3.9333	96.0667	16.52	83.48	8.2	300	0.904	bilinear
100	tf_efficientnet_b2	3.7733	96.2267	16.6133	83.3867	9.11	260	0.89	bicubic
101	hrnet_w30	3.68	96.32	15.5733	84.4267	37.71	224	0.875	bilinear
102	hrnet_w32	3.6533	96.3467	14.7867	85.2133	41.23	224	0.875	bilinear
103	hrnet_w40	3.6533	96.3467	15.44	84.56	57.56	224	0.875	bilinear
104	seresnext26t_32x4d	3.6133	96.3867	15.8933	84.1067	16.82	224	0.875	bicubic
105	tf_efficientnet_b1_ap	3.5467	96.4533	15.0667	84.9333	7.79	240	0.882	bicubic
106	seresnext26tn_32x4d	3.5067	96.4933	15.76	84.24	16.81	224	0.875	bicubic
107	dla169	3.4667	96.5333	15.3333	84.6667	53.99	224	0.875	bilinear
108	gluon_resnext50_32x4d	3.4533	96.5467	16.12	83.88	25.03	224	0.875	bicubic
109	mixnet_l	3.44	96.56	15.3067	84.6933	7.33	224	0.875	bicubic
110	seresnext26d_32x4d	3.4	96.6	16.16	83.84	16.81	224	0.875	bicubic
111	resnetblur50	3.3333	96.6667	15.5867	84.4133	25.56	224	0.875	bicubic
112	res2net50_26w_8s	3.3333	96.6667	14.04	85.96	48.4	224	0.875	bilinear
113	dla102x	3.3067	96.6933	15.12	84.88	26.77	224	0.875	bilinear
114	gluon_resnet101_v1c	3.3067	96.6933	14.12	85.88	44.57	224	0.875	bicubic
115	seresnet101	3.2533	96.7467	15.4533	84.5467	49.33	224	0.875	bilinear
116	dla60_res2next	3.04	96.96	14.4533	85.5467	17.33	224	0.875	bilinear
117	gluon_resnet50_v1d	3.0133	96.9867	14.6267	85.3733	25.58	224	0.875	bicubic
118	wide_resnet101_2	2.96	97.04	13.9467	86.0533	126.89	224	0.875	bilinear
119	gluon_resnet50_v1s	2.92	97.08	13.12	86.88	25.68	224	0.875	bicubic
120	tf_efficientnet_b1	2.8667	97.1333	13.5067	86.4933	7.79	240	0.882	bicubic
121	res2net50_26w_6s	2.84	97.16	12.6	87.4	37.05	224	0.875	bilinear
122	efficientnet_b0	2.8133	97.1867	13.9067	86.0933	5.29	224	0.875	bicubic
123	tf_mixnet_l	2.8133	97.1867	13.04	86.96	7.33	224	0.875	bicubic
124	dpn68b	2.7067	97.2933	12.64	87.36	12.61	224	0.875	bicubic
125	selecsls60b	2.6933	97.3067	13.1733	86.8267	32.77	224	0.875	bicubic
126	tf_efficientnet_cc_b0_8e	2.68	97.32	12.7733	87.2267	24.01	224	0.875	bicubic
127	dla60_res2net	2.64	97.36	14.2	85.8	21.15	224	0.875	bilinear
128	gluon_resnet101_v1b	2.6267	97.3733	13.5733	86.4267	44.55	224	0.875	bicubic
129	dla60x	2.6133	97.3867	13.3333	86.6667	17.65	224	0.875	bilinear
130	mixnet_m	2.5467	97.4533	12.4267	87.5733	5.01	224	0.875	bicubic
131	skresnet34	2.52	97.48	12.7733	87.2267	22.28	224	0.875	bicubic
132	efficientnet_es	2.3733	97.6267	13.88	86.12	5.44	224	0.875	bicubic
133	resnet152	2.36	97.64	12.2	87.8	60.19	224	0.875	bilinear
134	swsl_resnet18	2.3333	97.6667	11.2133	88.7867	11.69	224	0.875	bilinear
135	wide_resnet50_2	2.32	97.68	11.8	88.2	68.88	224	0.875	bilinear
136	seresnext26_32x4d	2.2933	97.7067	12.44	87.56	16.79	224	0.875	bicubic
137	hrnet_w18	2.2667	97.7333	11.8533	88.1467	21.3	224	0.875	bilinear
138	dla102	2.2533	97.7467	12.12	87.88	33.73	224	0.875	bilinear
139	resnet50	2.2267	97.7733	11.3333	88.6667	25.56	224	0.875	bicubic
140	selecsls60	2.08	97.92	12.84	87.16	30.67	224	0.875	bicubic
141	tf_efficientnet_cc_b0_4e	2.08	97.92	10.9733	89.0267	13.31	224	0.875	bicubic
142	res2next50	2.0667	97.9333	11.4533	88.5467	24.67	224	0.875	bilinear
143	seresnet50	2.0667	97.9333	12.2667	87.7333	28.09	224	0.875	bilinear
144	densenet161	1.9733	98.0267	10.5867	89.4133	28.68	224	0.875	bicubic
145	tf_efficientnet_b0_ap	1.96	98.04	10.8	89.2	5.29	224	0.875	bicubic
146	tf_efficientnet_em	1.8133	98.1867	11.6267	88.3733	6.9	240	0.882	bicubic
147	tf_mixnet_m	1.8133	98.1867	10.5467	89.4533	5.01	224	0.875	bicubic
148	tf_efficientnet_lite2	1.8	98.2	11.1467	88.8533	6.09	260	0.89	bicubic
149	res2net50_14w_8s	1.7867	98.2133	10.3467	89.6533	25.06	224	0.875	bilinear
150	res2net50_26w_4s	1.7733	98.2267	10.44	89.56	25.7	224	0.875	bilinear
151	mobilenetv3_large_100	1.76	98.24	10.2933	89.7067	5.48	224	0.875	bicubic
152	tf_efficientnet_b0	1.6933	98.3067	9.7333	90.2667	5.29	224	0.875	bicubic
153	tv_resnext50_32x4d	1.68	98.32	10.6	89.4	25.03	224	0.875	bilinear
154	mobilenetv3_rw	1.6667	98.3333	10.7333	89.2667	5.48	224	0.875	bicubic
155	resnet101	1.6667	98.3333	9.8133	90.1867	44.55	224	0.875	bilinear
156	mobilenetv2_120d	1.64	98.36	10.4533	89.5467	5.83	224	0.875	bicubic
157	mixnet_s	1.5867	98.4133	10.2533	89.7467	4.13	224	0.875	bicubic
158	densenet201	1.5467	98.4533	9.6267	90.3733	20.01	224	0.875	bicubic
159	gluon_resnet50_v1c	1.5467	98.4533	10.6133	89.3867	25.58	224	0.875	bicubic
160	semnasnet_100	1.5467	98.4533	9.32	90.68	3.89	224	0.875	bicubic
161	selecsls42b	1.4667	98.5333	10.44	89.56	32.46	224	0.875	bicubic
162	tf_efficientnet_lite1	1.4533	98.5467	9.7067	90.2933	5.42	240	0.882	bicubic
163	ssl_resnet18	1.3867	98.6133	8.16	91.84	11.69	224	0.875	bilinear
164	dla60	1.3467	98.6533	9.4667	90.5333	22.33	224	0.875	bilinear
165	dpn68	1.3467	98.6533	8.8133	91.1867	12.61	224	0.875	bicubic
166	res2net50_48w_2s	1.3067	98.6933	8.92	91.08	25.29	224	0.875	bilinear
167	tf_mixnet_s	1.28	98.72	8.7467	91.2533	4.13	224	0.875	bicubic
168	mobilenetv2_140	1.2533	98.7467	9.1067	90.8933	6.11	224	0.875	bicubic
169	fbnetc_100	1.2267	98.7733	8.7467	91.2533	5.57	224	0.875	bilinear
170	resnet26d	1.2267	98.7733	9.28	90.72	16.01	224	0.875	bicubic
171	densenet169	1.1867	98.8133	8.32	91.68	14.15	224	0.875	bicubic
172	tf_mobilenetv3_large_100	1.1867	98.8133	7.9467	92.0533	5.48	224	0.875	bilinear
173	gluon_resnet50_v1b	1.16	98.84	9.0267	90.9733	25.56	224	0.875	bicubic
174	seresnet34	1.12	98.88	7.4	92.6	21.96	224	0.875	bilinear
175	tf_efficientnet_es	1.12	98.88	8.6	91.4	5.44	224	0.875	bicubic
176	spnasnet_100	1.1067	98.8933	8.2533	91.7467	4.42	224	0.875	bilinear
177	tf_efficientnet_lite0	1.1067	98.8933	7.4933	92.5067	4.65	224	0.875	bicubic
178	dla34	1.08	98.92	7.6933	92.3067	15.78	224	0.875	bilinear
179	resnet34	0.9867	99.0133	7.5333	92.4667	21.8	224	0.875	bilinear
180	mobilenetv2_110d	0.9333	99.0667	8.1067	91.8933	4.52	224	0.875	bicubic
181	gluon_resnet34_v1b	0.8933	99.1067	6.6	93.4	21.8	224	0.875	bicubic
182	hrnet_w18_small_v2	0.8933	99.1067	7.3867	92.6133	15.6	224	0.875	bilinear
183	skresnet18	0.88	99.12	7.3867	92.6133	11.96	224	0.875	bicubic
184	mnasnet_100	0.8667	99.1333	7.8667	92.1333	4.38	224	0.875	bicubic
185	tf_mobilenetv3_large_075	0.8667	99.1333	6.72	93.28	3.99	224	0.875	bilinear
186	tf_mobilenetv3_small_100	0.7467	99.2533	4.6667	95.3333	2.54	224	0.875	bilinear
187	seresnet18	0.72	99.28	6.0267	93.9733	11.78	224	0.875	bicubic
188	densenet121	0.68	99.32	6.9067	93.0933	7.98	224	0.875	bicubic
189	tf_mobilenetv3_small_075	0.6267	99.3733	4.1733	95.8267	2.04	224	0.875	bilinear
190	resnet26	0.6	99.4	6.88	93.12	16	224	0.875	bicubic
191	tv_resnet34	0.6	99.4	5.52	94.48	21.8	224	0.875	bilinear
192	mobilenetv2_100	0.5333	99.4667	6.1867	93.8133	3.5	224	0.875	bicubic
193	dla46_c	0.52	99.48	4.1867	95.8133	1.31	224	0.875	bilinear
194	tf_mobilenetv3_large_minimal_100	0.48	99.52	4.88	95.12	3.92	224	0.875	bilinear
195	dla60x_c	0.4667	99.5333	5.2133	94.7867	1.34	224	0.875	bilinear
196	hrnet_w18_small	0.4533	99.5467	4.84	95.16	13.19	224	0.875	bilinear
197	dla46x_c	0.4133	99.5867	4.44	95.56	1.08	224	0.875	bilinear
198	gluon_resnet18_v1b	0.3867	99.6133	4.7867	95.2133	11.69	224	0.875	bicubic
199	tf_mobilenetv3_small_minimal_100	0.36	99.64	2.8667	97.1333	2.04	224	0.875	bilinear
200	resnet18	0.2933	99.7067	4.04	95.96	11.69	224	0.875	bilinear
201	tv_resnet50	0	100	2.8933	97.1067	25.56	224	0.875	bilinear