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	62.3733	37.6267	87.0933	12.9067	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	45.76	54.24	74.2133	25.7867	66.35	600	0.949	bicubic
5	ig_resnext101_32x48d	41.56	58.44	66.5467	33.4533	828.41	224	0.875	bilinear
6	tf_efficientnet_b6_ns	40.4533	59.5467	68.8667	31.1333	43.04	528	0.942	bicubic
7	ig_resnext101_32x32d	39.4267	60.5733	63.7867	36.2133	468.53	224	0.875	bilinear
8	tf_efficientnet_b5_ns	39.0133	60.9867	68.08	31.92	30.39	456	0.934	bicubic
9	ig_resnext101_32x16d	36	64	59	41	194.03	224	0.875	bilinear
10	swsl_resnext101_32x8d	32.0133	67.9867	59.44	40.56	88.79	224	0.875	bilinear
11	tf_efficientnet_b4_ns	30.7867	69.2133	59.4667	40.5333	19.34	380	0.922	bicubic
12	tf_efficientnet_b8_ap	29.5867	70.4133	56.9333	43.0667	87.41	672	0.954	bicubic
13	tf_efficientnet_b8	29.3867	70.6133	57.0533	42.9467	87.41	672	0.954	bicubic
14	ig_resnext101_32x8d	28.6667	71.3333	52.32	47.68	88.79	224	0.875	bilinear
15	swsl_resnext101_32x16d	27.9467	72.0533	52.2933	47.7067	194.03	224	0.875	bilinear
16	tf_efficientnet_b7_ap	27.8267	72.1733	54.7733	45.2267	66.35	600	0.949	bicubic
17	swsl_resnext101_32x4d	25.3067	74.6933	49.6267	50.3733	44.18	224	0.875	bilinear
18	tf_efficientnet_b7	25.28	74.72	51.6667	48.3333	66.35	600	0.949	bicubic
19	tf_efficientnet_b6_ap	24.3467	75.6533	50.44	49.56	43.04	528	0.942	bicubic
20	tf_efficientnet_b6	20.3733	79.6267	45.48	54.52	43.04	528	0.942	bicubic
21	tf_efficientnet_b5_ap	19.4667	80.5333	44.7333	55.2667	30.39	456	0.934	bicubic
22	tf_efficientnet_b3_ns	19.44	80.56	44.6533	55.3467	12.23	300	0.904	bicubic
23	swsl_resnext50_32x4d	18.04	81.96	41.9733	58.0267	25.03	224	0.875	bilinear
24	ssl_resnext101_32x16d	17.1867	82.8133	39.9333	60.0667	194.03	224	0.875	bilinear
25	tf_efficientnet_b5	17.0533	82.9467	41.92	58.08	30.39	456	0.934	bicubic
26	swsl_resnet50	15.9467	84.0533	38.8533	61.1467	25.56	224	0.875	bilinear
27	ssl_resnext101_32x8d	15.12	84.88	37.6933	62.3067	88.79	224	0.875	bilinear
28	tf_efficientnet_b4_ap	13.6667	86.3333	35.9467	64.0533	19.34	380	0.922	bicubic
29	tf_efficientnet_b4	13.32	86.68	35.5333	64.4667	19.34	380	0.922	bicubic
30	pnasnet5large	13.0533	86.9467	32.2267	67.7733	86.06	331	0.875	bicubic
31	nasnetalarge	12.56	87.44	33.4267	66.5733	88.75	331	0.875	bicubic
32	ssl_resnext101_32x4d	12.1067	87.8933	31.8933	68.1067	44.18	224	0.875	bilinear
33	tf_efficientnet_b2_ns	11.7333	88.2667	32.96	67.04	9.11	260	0.89	bicubic
34	gluon_senet154	9.8933	90.1067	26.4267	73.5733	115.09	224	0.875	bicubic
35	ssl_resnext50_32x4d	9.6533	90.3467	28.4667	71.5333	25.03	224	0.875	bilinear
36	senet154	9.4667	90.5333	26.44	73.56	115.09	224	0.875	bilinear
37	efficientnet_b3a	9.2533	90.7467	28.4267	71.5733	12.23	320	1	bicubic
38	efficientnet_b3	8.9733	91.0267	28.2267	71.7733	12.23	300	0.904	bicubic
39	inception_v4	8.8933	91.1067	24.68	75.32	42.68	299	0.875	bicubic
40	gluon_seresnext101_64x4d	8.8667	91.1333	27.28	72.72	88.23	224	0.875	bicubic
41	tf_efficientnet_b1_ns	8.6133	91.3867	27.2933	72.7067	7.79	240	0.882	bicubic
42	gluon_xception65	8.44	91.56	25.12	74.88	39.92	299	0.875	bicubic
43	gluon_resnet152_v1d	8.36	91.64	23.4267	76.5733	60.21	224	0.875	bicubic
44	inception_resnet_v2	8.1733	91.8267	23.5733	76.4267	55.84	299	0.8975	bicubic
45	tf_efficientnet_b3_ap	8.1067	91.8933	26.28	73.72	12.23	300	0.904	bicubic
46	gluon_seresnext101_32x4d	8.04	91.96	24.6933	75.3067	48.96	224	0.875	bicubic
47	tf_efficientnet_b3	8.0133	91.9867	25.48	74.52	12.23	300	0.904	bicubic
48	ens_adv_inception_resnet_v2	7.9733	92.0267	23.8667	76.1333	55.84	299	0.8975	bicubic
49	gluon_resnet152_v1s	7.8533	92.1467	23.1867	76.8133	60.32	224	0.875	bicubic
50	gluon_resnext101_64x4d	7.72	92.28	23.3067	76.6933	83.46	224	0.875	bicubic
51	skresnext50_32x4d	7.08	92.92	23.0667	76.9333	27.48	224	0.875	bicubic
52	ssl_resnet50	7.04	92.96	23.9067	76.0933	25.56	224	0.875	bilinear
53	efficientnet_b2a	6.7467	93.2533	23.5067	76.4933	9.11	288	1	bicubic
54	seresnext101_32x4d	6.4	93.6	21.4933	78.5067	48.96	224	0.875	bilinear
55	efficientnet_b2	6.0933	93.9067	21.96	78.04	9.11	260	0.875	bicubic
56	gluon_resnext101_32x4d	6.0133	93.9867	21.12	78.88	44.18	224	0.875	bicubic
57	gluon_resnet101_v1d	5.92	94.08	19.9467	80.0533	44.57	224	0.875	bicubic
58	gluon_seresnext50_32x4d	5.7867	94.2133	21.4533	78.5467	27.56	224	0.875	bicubic
59	gluon_inception_v3	5.5067	94.4933	20	80	23.83	299	0.875	bicubic
60	mixnet_xl	5.4667	94.5333	21.08	78.92	11.9	224	0.875	bicubic
61	gluon_resnet101_v1s	5.28	94.72	19.56	80.44	44.67	224	0.875	bicubic
62	hrnet_w64	5.16	94.84	19.4933	80.5067	128.06	224	0.875	bilinear
63	dpn107	4.8933	95.1067	17.6133	82.3867	86.92	224	0.875	bicubic
64	gluon_resnet152_v1c	4.8667	95.1333	17.72	82.28	60.21	224	0.875	bicubic
65	dla102x2	4.7467	95.2533	18.9067	81.0933	41.75	224	0.875	bilinear
66	tf_inception_v3	4.7467	95.2533	17.7733	82.2267	23.83	299	0.875	bicubic
67	adv_inception_v3	4.7333	95.2667	17.56	82.44	23.83	299	0.875	bicubic
68	hrnet_w48	4.72	95.28	18.4133	81.5867	77.47	224	0.875	bilinear
69	dpn131	4.6533	95.3467	16.8533	83.1467	79.25	224	0.875	bicubic
70	gluon_resnet152_v1b	4.5867	95.4133	16.5333	83.4667	60.19	224	0.875	bicubic
71	dpn92	4.5067	95.4933	18.2133	81.7867	37.67	224	0.875	bicubic
72	hrnet_w44	4.4933	95.5067	17.36	82.64	67.06	224	0.875	bilinear
73	resnext50d_32x4d	4.36	95.64	17.7867	82.2133	25.05	224	0.875	bicubic
74	xception	4.3333	95.6667	16.7867	83.2133	22.86	299	0.8975	bicubic
75	seresnext50_32x4d	4.28	95.72	17.8133	82.1867	27.56	224	0.875	bilinear
76	tf_efficientnet_cc_b1_8e	4.24	95.76	15.9467	84.0533	39.72	240	0.882	bicubic
77	tf_efficientnet_el	4.2267	95.7733	18.1867	81.8133	10.59	300	0.904	bicubic
78	inception_v3	4.1867	95.8133	16.2933	83.7067	27.16	299	0.875	bicubic
79	tf_efficientnet_b2_ap	4.16	95.84	18.3467	81.6533	9.11	260	0.89	bicubic
80	seresnet152	4.1467	95.8533	15.9333	84.0667	66.82	224	0.875	bilinear
81	resnext101_32x8d	4.1333	95.8667	16.92	83.08	88.79	224	0.875	bilinear
82	tf_efficientnet_b0_ns	4.1333	95.8667	17.68	82.32	5.29	224	0.875	bicubic
83	dpn98	4.08	95.92	15.96	84.04	61.57	224	0.875	bicubic
84	res2net101_26w_4s	4	96	14.8667	85.1333	45.21	224	0.875	bilinear
85	efficientnet_b1	3.9733	96.0267	15.7733	84.2267	7.79	240	0.875	bicubic
86	tf_efficientnet_b2	3.76	96.24	16.5867	83.4133	9.11	260	0.89	bicubic
87	hrnet_w30	3.68	96.32	15.5733	84.4267	37.71	224	0.875	bilinear
88	hrnet_w32	3.64	96.36	14.8133	85.1867	41.23	224	0.875	bilinear
89	seresnext26t_32x4d	3.64	96.36	15.9467	84.0533	16.82	224	0.875	bicubic
90	hrnet_w40	3.6133	96.3867	15.4267	84.5733	57.56	224	0.875	bilinear
91	tf_efficientnet_b1_ap	3.5467	96.4533	15.0533	84.9467	7.79	240	0.882	bicubic
92	dla169	3.4933	96.5067	15.36	84.64	53.99	224	0.875	bilinear
93	seresnext26tn_32x4d	3.4933	96.5067	15.7733	84.2267	16.81	224	0.875	bicubic
94	gluon_resnext50_32x4d	3.44	96.56	16.04	83.96	25.03	224	0.875	bicubic
95	mixnet_l	3.4267	96.5733	15.3067	84.6933	7.33	224	0.875	bicubic
96	seresnext26d_32x4d	3.4	96.6	16.1867	83.8133	16.81	224	0.875	bicubic
97	res2net50_26w_8s	3.3333	96.6667	13.9867	86.0133	48.4	224	0.875	bilinear
98	gluon_resnet101_v1c	3.32	96.68	14.12	85.88	44.57	224	0.875	bicubic
99	dla102x	3.28	96.72	15.16	84.84	26.77	224	0.875	bilinear
100	seresnet101	3.2533	96.7467	15.4533	84.5467	49.33	224	0.875	bilinear
101	dla60_res2next	3.0533	96.9467	14.4533	85.5467	17.33	224	0.875	bilinear
102	gluon_resnet50_v1d	3.0267	96.9733	14.6667	85.3333	25.58	224	0.875	bicubic
103	wide_resnet101_2	2.9467	97.0533	13.9733	86.0267	126.89	224	0.875	bilinear
104	gluon_resnet50_v1s	2.88	97.12	13.1067	86.8933	25.68	224	0.875	bicubic
105	res2net50_26w_6s	2.8533	97.1467	12.6133	87.3867	37.05	224	0.875	bilinear
106	tf_efficientnet_b1	2.8533	97.1467	13.48	86.52	7.79	240	0.882	bicubic
107	efficientnet_b0	2.8267	97.1733	13.8933	86.1067	5.29	224	0.875	bicubic
108	tf_mixnet_l	2.8133	97.1867	13.0533	86.9467	7.33	224	0.875	bicubic
109	dpn68b	2.7067	97.2933	12.6933	87.3067	12.61	224	0.875	bicubic
110	selecsls60b	2.7067	97.2933	13.2267	86.7733	32.77	224	0.875	bicubic
111	tf_efficientnet_cc_b0_8e	2.68	97.32	12.7867	87.2133	24.01	224	0.875	bicubic
112	dla60_res2net	2.64	97.36	14.1733	85.8267	21.15	224	0.875	bilinear
113	gluon_resnet101_v1b	2.6133	97.3867	13.56	86.44	44.55	224	0.875	bicubic
114	dla60x	2.6	97.4	13.3467	86.6533	17.65	224	0.875	bilinear
115	mixnet_m	2.5467	97.4533	12.4133	87.5867	5.01	224	0.875	bicubic
116	efficientnet_es	2.3733	97.6267	13.8267	86.1733	5.44	224	0.875	bicubic
117	resnet152	2.36	97.64	12.2	87.8	60.19	224	0.875	bilinear
118	swsl_resnet18	2.3467	97.6533	11.2267	88.7733	11.69	224	0.875	bilinear
119	wide_resnet50_2	2.32	97.68	11.8267	88.1733	68.88	224	0.875	bilinear
120	hrnet_w18	2.28	97.72	11.84	88.16	21.3	224	0.875	bilinear
121	seresnext26_32x4d	2.28	97.72	12.44	87.56	16.79	224	0.875	bicubic
122	dla102	2.2667	97.7333	12.1467	87.8533	33.73	224	0.875	bilinear
123	resnet50	2.2133	97.7867	11.3067	88.6933	25.56	224	0.875	bicubic
124	resnext50_32x4d	2.12	97.88	12.3067	87.6933	25.03	224	0.875	bicubic
125	selecsls60	2.1067	97.8933	12.8533	87.1467	30.67	224	0.875	bicubic
126	tf_efficientnet_cc_b0_4e	2.0933	97.9067	10.9867	89.0133	13.31	224	0.875	bicubic
127	res2next50	2.0667	97.9333	11.4133	88.5867	24.67	224	0.875	bilinear
128	seresnet50	2.0667	97.9333	12.2667	87.7333	28.09	224	0.875	bilinear
129	densenet161	1.9733	98.0267	10.5733	89.4267	28.68	224	0.875	bicubic
130	tf_efficientnet_b0_ap	1.96	98.04	10.8	89.2	5.29	224	0.875	bicubic
131	tf_mixnet_m	1.84	98.16	10.56	89.44	5.01	224	0.875	bicubic
132	tf_efficientnet_em	1.8133	98.1867	11.6	88.4	6.9	240	0.882	bicubic
133	res2net50_14w_8s	1.8	98.2	10.3467	89.6533	25.06	224	0.875	bilinear
134	res2net50_26w_4s	1.7733	98.2267	10.4267	89.5733	25.7	224	0.875	bilinear
135	tf_efficientnet_b0	1.6933	98.3067	9.7467	90.2533	5.29	224	0.875	bicubic
136	tv_resnext50_32x4d	1.6933	98.3067	10.6	89.4	25.03	224	0.875	bilinear
137	resnet101	1.6667	98.3333	9.8	90.2	44.55	224	0.875	bilinear
138	mobilenetv3_rw	1.6533	98.3467	10.7333	89.2667	5.48	224	0.875	bicubic
139	mixnet_s	1.5867	98.4133	10.24	89.76	4.13	224	0.875	bicubic
140	densenet201	1.5467	98.4533	9.6267	90.3733	20.01	224	0.875	bicubic
141	semnasnet_100	1.5467	98.4533	9.28	90.72	3.89	224	0.875	bicubic
142	gluon_resnet50_v1c	1.5333	98.4667	10.6533	89.3467	25.58	224	0.875	bicubic
143	selecsls42b	1.44	98.56	10.4533	89.5467	32.46	224	0.875	bicubic
144	ssl_resnet18	1.3867	98.6133	8.2	91.8	11.69	224	0.875	bilinear
145	dla60	1.3333	98.6667	9.4667	90.5333	22.33	224	0.875	bilinear
146	dpn68	1.32	98.68	8.8267	91.1733	12.61	224	0.875	bicubic
147	res2net50_48w_2s	1.2933	98.7067	8.9333	91.0667	25.29	224	0.875	bilinear
148	tf_mixnet_s	1.2667	98.7333	8.7333	91.2667	4.13	224	0.875	bicubic
149	fbnetc_100	1.24	98.76	8.76	91.24	5.57	224	0.875	bilinear
150	resnet26d	1.24	98.76	9.32	90.68	16.01	224	0.875	bicubic
151	tf_mobilenetv3_large_100	1.1867	98.8133	7.9467	92.0533	5.48	224	0.875	bilinear
152	densenet169	1.1733	98.8267	8.3067	91.6933	14.15	224	0.875	bicubic
153	gluon_resnet50_v1b	1.16	98.84	9.08	90.92	25.56	224	0.875	bicubic
154	seresnet34	1.12	98.88	7.4267	92.5733	21.96	224	0.875	bilinear
155	tf_efficientnet_es	1.12	98.88	8.5867	91.4133	5.44	224	0.875	bicubic
156	spnasnet_100	1.1067	98.8933	8.2133	91.7867	4.42	224	0.875	bilinear
157	dla34	1.08	98.92	7.68	92.32	15.78	224	0.875	bilinear
158	resnet34	1	99	7.5333	92.4667	21.8	224	0.875	bilinear
159	gluon_resnet34_v1b	0.8933	99.1067	6.6	93.4	21.8	224	0.875	bicubic
160	hrnet_w18_small_v2	0.8933	99.1067	7.3867	92.6133	15.6	224	0.875	bilinear
161	skresnet18	0.88	99.12	7.3467	92.6533	11.96	224	0.875	bicubic
162	tf_mobilenetv3_large_075	0.88	99.12	6.72	93.28	3.99	224	0.875	bilinear
163	mnasnet_100	0.8667	99.1333	7.8267	92.1733	4.38	224	0.875	bicubic
164	tf_mobilenetv3_small_100	0.7467	99.2533	4.6667	95.3333	2.54	224	0.875	bilinear
165	seresnet18	0.7333	99.2667	6.0267	93.9733	11.78	224	0.875	bicubic
166	densenet121	0.68	99.32	6.8933	93.1067	7.98	224	0.875	bicubic
167	tf_mobilenetv3_small_075	0.6533	99.3467	4.1867	95.8133	2.04	224	0.875	bilinear
168	tv_resnet34	0.6	99.4	5.5333	94.4667	21.8	224	0.875	bilinear
169	resnet26	0.5867	99.4133	6.8933	93.1067	16	224	0.875	bicubic
170	dla46_c	0.52	99.48	4.1733	95.8267	1.31	224	0.875	bilinear
171	dla60x_c	0.48	99.52	5.2133	94.7867	1.34	224	0.875	bilinear
172	tf_mobilenetv3_large_minimal_100	0.48	99.52	4.88	95.12	3.92	224	0.875	bilinear
173	hrnet_w18_small	0.4533	99.5467	4.84	95.16	13.19	224	0.875	bilinear
174	dla46x_c	0.4133	99.5867	4.44	95.56	1.08	224	0.875	bilinear
175	gluon_resnet18_v1b	0.3867	99.6133	4.7867	95.2133	11.69	224	0.875	bicubic
176	tf_mobilenetv3_small_minimal_100	0.36	99.64	2.8667	97.1333	2.04	224	0.875	bilinear
177	resnet18	0.2933	99.7067	4.04	95.96	11.69	224	0.875	bilinear
178	tv_resnet50	0	100	2.9067	97.0933	25.56	224	0.875	bilinear