pytorch-image-models/results/results-sketch.csv

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	ig_resnext101_32x48d	58.8143	41.1857	81.0863	18.9137	828.41	224	0.875	bilinear
3	ig_resnext101_32x32d	58.38	41.62	80.3789	19.6211	468.53	224	0.875	bilinear
4	ig_resnext101_32x16d	57.7001	42.2999	79.9131	20.0869	194.03	224	0.875	bilinear
5	swsl_resnext101_32x16d	57.4663	42.5337	80.3808	19.6192	194.03	224	0.875	bilinear
6	swsl_resnext101_32x8d	56.4346	43.5654	78.9345	21.0655	88.79	224	0.875	bilinear
7	ig_resnext101_32x8d	54.9176	45.0824	77.5452	22.4548	88.79	224	0.875	bilinear
8	swsl_resnext101_32x4d	53.5911	46.4089	76.3387	23.6613	44.18	224	0.875	bilinear
9	tf_efficientnet_l2_ns_475	51.4866	48.5134	73.9295	26.0705	480.31	475	0.936	bicubic
10	swsl_resnext50_32x4d	50.449	49.551	73.3577	26.6423	25.03	224	0.875	bilinear
11	swsl_resnet50	49.551	50.449	72.3319	27.6681	25.56	224	0.875	bilinear
12	tf_efficientnet_b7_ns	47.8001	52.1999	69.6378	30.3622	66.35	600	0.949	bicubic
13	tf_efficientnet_b6_ns	47.751	52.249	69.9621	30.0379	43.04	528	0.942	bicubic
14	tf_efficientnet_l2_ns	47.5702	52.4298	70.0171	29.9829	480.31	800	0.96	bicubic
15	tf_efficientnet_b8_ap	45.7781	54.2219	67.9047	32.0953	87.41	672	0.954	bicubic
16	tf_efficientnet_b5_ns	45.6071	54.3929	67.8516	32.1484	30.39	456	0.934	bicubic
17	tf_efficientnet_b4_ns	43.4554	56.5446	65.5132	34.4868	19.34	380	0.922	bicubic
18	tf_efficientnet_b8	42.5023	57.4977	64.8745	35.1255	87.41	672	0.954	bicubic
19	tf_efficientnet_b7	41.4372	58.5628	63.0274	36.9726	66.35	600	0.949	bicubic
20	tf_efficientnet_b7_ap	41.4333	58.5667	62.8761	37.1239	66.35	600	0.949	bicubic
21	tf_efficientnet_b5_ap	41.4196	58.5804	62.0822	37.9178	30.39	456	0.934	bicubic
22	tf_efficientnet_b6_ap	41.0914	58.9086	62.3593	37.6407	43.04	528	0.942	bicubic
23	tf_efficientnet_b4_ap	40.4763	59.5237	61.7127	38.2873	19.34	380	0.922	bicubic
24	tf_efficientnet_b3_ns	39.5822	60.4178	61.4632	38.5368	12.23	300	0.904	bicubic
25	tf_efficientnet_b5	38.3285	61.6715	59.9285	40.0715	30.39	456	0.934	bicubic
26	tf_efficientnet_b3_ap	37.0611	62.9389	57.2363	42.7637	12.23	300	0.904	bicubic
27	tf_efficientnet_b2_ns	36.1768	63.8232	57.5547	42.4453	9.11	260	0.89	bicubic
28	ecaresnet101d	36.0058	63.9942	56.1536	43.8464	44.57	224	0.875	bicubic
29	swsl_resnet18	35.8604	64.1396	58.439	41.561	11.69	224	0.875	bilinear
30	ssl_resnext101_32x16d	34.6087	65.3913	55.9139	44.0861	194.03	224	0.875	bilinear
31	tf_efficientnet_b1_ns	34.1528	65.8472	55.4894	44.5106	7.79	240	0.882	bicubic
32	tf_efficientnet_b4	34.0624	65.9376	54.216	45.784	19.34	380	0.922	bicubic
33	ssl_resnext101_32x8d	34.0211	65.9789	55.5935	44.4065	88.79	224	0.875	bilinear
34	tf_efficientnet_b6	34.0054	65.9946	54.5403	45.4597	43.04	528	0.942	bicubic
35	efficientnet_b3_pruned	33.9956	66.0044	54.1099	45.8901	9.86	300	0.904	bicubic
36	tresnet_xl	33.2587	66.7413	52.2962	47.7038	78.44	224	0.875	bilinear
37	tf_efficientnet_b3	32.8637	67.1363	52.9623	47.0377	12.23	300	0.904	bicubic
38	inception_resnet_v2	32.736	67.264	50.6396	49.3604	55.84	299	0.8975	bicubic
39	gluon_resnet152_v1d	32.7301	67.2699	51.0837	48.9163	60.21	224	0.875	bicubic
40	tf_efficientnet_b2_ap	32.679	67.321	52.2333	47.7667	9.11	260	0.89	bicubic
41	nasnetalarge	32.5827	67.4173	49.7868	50.2132	88.75	331	0.875	bicubic
42	tresnet_l	32.567	67.433	51.1407	48.8593	55.99	224	0.875	bilinear
43	pnasnet5large	32.5316	67.4684	50.1877	49.8123	86.06	331	0.875	bicubic
44	ens_adv_inception_resnet_v2	32.3705	67.6295	50.4274	49.5726	55.84	299	0.8975	bicubic
45	gluon_resnet152_v1s	32.3312	67.6688	50.5394	49.4606	60.32	224	0.875	bicubic
46	gluon_seresnext101_64x4d	32.1936	67.8064	50.3272	49.6728	88.23	224	0.875	bicubic
47	gluon_seresnext101_32x4d	32.115	67.885	51.2409	48.7591	48.96	224	0.875	bicubic
48	efficientnet_b3a	31.7279	68.2721	51.3215	48.6785	12.23	320	1	bicubic
49	efficientnet_b3	31.5648	68.4352	51.2724	48.7276	12.23	300	0.904	bicubic
50	resnet50	31.5451	68.4549	50.1719	49.8281	25.56	224	0.875	bicubic
51	ssl_resnext101_32x4d	31.4331	68.5669	52.1154	47.8846	44.18	224	0.875	bilinear
52	inception_v4	31.382	68.618	49.2366	50.7634	42.68	299	0.875	bicubic
53	ecaresnetlight	31.1325	68.8675	50.2525	49.7475	30.16	224	0.875	bicubic
54	gluon_resnet101_v1s	31.1128	68.8872	49.7907	50.2093	44.67	224	0.875	bicubic
55	tf_efficientnet_cc_b0_8e	31.0814	68.9186	50.7733	49.2267	24.01	224	0.875	bicubic
56	ecaresnet50d	31.0637	68.9363	50.846	49.154	25.58	224	0.875	bicubic
57	gluon_resnet152_v1c	31.0067	68.9933	48.9359	51.0641	60.21	224	0.875	bicubic
58	tresnet_m	30.9929	69.0071	48.6903	51.3097	31.39	224	0.875	bilinear
59	gluon_resnext101_64x4d	30.9812	69.0188	48.5527	51.4473	83.46	224	0.875	bicubic
60	tf_efficientnet_cc_b1_8e	30.9006	69.0994	50.0737	49.9263	39.72	240	0.882	bicubic
61	ecaresnet101d_pruned	30.8947	69.1053	50.001	49.999	24.88	224	0.875	bicubic
62	gluon_resnext101_32x4d	30.8809	69.1191	48.537	51.463	44.18	224	0.875	bicubic
63	tf_efficientnet_lite4	30.8397	69.1603	50.3979	49.6021	13.01	380	0.92	bilinear
64	dpn107	30.6805	69.3195	48.8062	51.1938	86.92	224	0.875	bicubic
65	tresnet_xl_448	30.6196	69.3804	49.0715	50.9285	78.44	448	0.875	bilinear
66	gluon_resnet152_v1b	30.6176	69.3824	48.5311	51.4689	60.19	224	0.875	bicubic
67	ssl_resnext50_32x4d	30.594	69.406	50.6534	49.3466	25.03	224	0.875	bilinear
68	gluon_resnet101_v1d	30.5095	69.4905	47.975	52.025	44.57	224	0.875	bicubic
69	efficientnet_b2a	30.4231	69.5769	49.6748	50.3252	9.11	288	1	bicubic
70	tf_efficientnet_b1_ap	30.4191	69.5809	49.5529	50.4471	7.79	240	0.882	bicubic
71	dpn98	30.0576	69.9424	48.2403	51.7597	61.57	224	0.875	bicubic
72	tf_efficientnet_b2	30.0202	69.9798	49.5903	50.4097	9.11	260	0.89	bicubic
73	dpn131	30.0143	69.9857	48.144	51.856	79.25	224	0.875	bicubic
74	senet154	30.0006	69.9994	48.032	51.968	115.09	224	0.875	bilinear
75	dpn92	29.9691	70.0309	49.1599	50.8401	37.67	224	0.875	bicubic
76	gluon_senet154	29.8866	70.1134	47.8728	52.1272	115.09	224	0.875	bicubic
77	xception	29.8493	70.1507	48.6903	51.3097	22.86	299	0.8975	bicubic
78	adv_inception_v3	29.8237	70.1763	47.8689	52.1311	23.83	299	0.875	bicubic
79	resnetblur50	29.6233	70.3767	48.2501	51.7499	25.56	224	0.875	bicubic
80	efficientnet_b2	29.6174	70.3826	48.7728	51.2272	9.11	260	0.875	bicubic
81	gluon_xception65	29.5545	70.4455	47.523	52.477	39.92	299	0.875	bicubic
82	resnext101_32x8d	29.4347	70.5653	48.482	51.518	88.79	224	0.875	bilinear
83	ssl_resnet50	29.4229	70.5771	49.773	50.227	25.56	224	0.875	bilinear
84	resnext50_32x4d	29.3285	70.6715	47.3953	52.6047	25.03	224	0.875	bicubic
85	ecaresnet50d_pruned	29.2165	70.7835	48.4604	51.5396	19.94	224	0.875	bicubic
86	tresnet_l_448	29.1674	70.8326	47.2342	52.7658	55.99	448	0.875	bilinear
87	gluon_inception_v3	29.1143	70.8857	46.9433	53.0567	23.83	299	0.875	bicubic
88	hrnet_w64	28.9866	71.0134	47.1399	52.8601	128.06	224	0.875	bilinear
89	tf_efficientnet_b0_ns	28.9139	71.0861	49.0106	50.9894	5.29	224	0.875	bicubic
90	tf_efficientnet_b1	28.8923	71.1077	47.5112	52.4888	7.79	240	0.882	bicubic
91	gluon_resnet101_v1b	28.8569	71.1431	46.3715	53.6285	44.55	224	0.875	bicubic
92	skresnext50_32x4d	28.8176	71.1824	46.5032	53.4968	27.48	224	0.875	bicubic
93	tf_efficientnet_lite3	28.6545	71.3455	47.358	52.642	8.2	300	0.904	bilinear
94	hrnet_w40	28.6447	71.3553	47.4425	52.5575	57.56	224	0.875	bilinear
95	gluon_seresnext50_32x4d	28.6408	71.3592	46.4501	53.5499	27.56	224	0.875	bicubic
96	skresnet34	28.629	71.371	47.9573	52.0427	22.28	224	0.875	bicubic
97	resnet152	28.5347	71.4653	47.1143	52.8857	60.19	224	0.875	bilinear
98	hrnet_w48	28.4069	71.5931	47.5741	52.4259	77.47	224	0.875	bilinear
99	gluon_resnext50_32x4d	28.3833	71.6167	45.3261	54.6739	25.03	224	0.875	bicubic
100	efficientnet_b2_pruned	28.3657	71.6343	47.0593	52.9407	8.31	260	0.89	bicubic
101	tf_efficientnet_b0_ap	28.3499	71.6501	47.5309	52.4691	5.29	224	0.875	bicubic
102	dla102x2	28.3185	71.6815	46.7567	53.2433	41.75	224	0.875	bilinear
103	dla169	28.3106	71.6894	47.3992	52.6008	53.99	224	0.875	bilinear
104	tf_efficientnet_cc_b0_4e	28.3106	71.6894	47.3639	52.6361	13.31	224	0.875	bicubic
105	mixnet_xl	28.293	71.707	46.7174	53.2826	11.9	224	0.875	bicubic
106	gluon_resnet50_v1d	28.236	71.764	45.8763	54.1237	25.58	224	0.875	bicubic
107	wide_resnet101_2	28.1063	71.8937	46.4246	53.5754	126.89	224	0.875	bilinear
108	densenet161	28.1004	71.8996	46.6506	53.3494	28.68	224	0.875	bicubic
109	gluon_resnet101_v1c	28.1004	71.8996	45.953	54.047	44.57	224	0.875	bicubic
110	dpn68b	27.8842	72.1158	47.4602	52.5398	12.61	224	0.875	bicubic
111	tf_inception_v3	27.784	72.216	45.7132	54.2868	23.83	299	0.875	bicubic
112	res2net101_26w_4s	27.7742	72.2258	45.1709	54.8291	45.21	224	0.875	bilinear
113	hrnet_w44	27.6248	72.3752	45.8311	54.1689	67.06	224	0.875	bilinear
114	inception_v3	27.5698	72.4302	45.2632	54.7368	27.16	299	0.875	bicubic
115	hrnet_w30	27.3851	72.6149	46.5425	53.4575	37.71	224	0.875	bilinear
116	hrnet_w32	27.3772	72.6228	45.9903	54.0097	41.23	224	0.875	bilinear
117	gluon_resnet50_v1s	27.3281	72.6719	45.2141	54.7859	25.68	224	0.875	bicubic
118	densenet201	27.2613	72.7387	46.2241	53.7759	20.01	224	0.875	bicubic
119	efficientnet_b1_pruned	27.1945	72.8055	45.8724	54.1276	6.33	240	0.882	bicubic
120	res2net50_26w_8s	27.0726	72.9274	44.432	55.568	48.4	224	0.875	bilinear
121	dla102x	27.0235	72.9765	45.4951	54.5049	26.77	224	0.875	bilinear
122	resnet101	26.9685	73.0315	45.2357	54.7643	44.55	224	0.875	bilinear
123	resnext50d_32x4d	26.8742	73.1258	44.43	55.57	25.05	224	0.875	bicubic
124	seresnext101_32x4d	26.8192	73.1808	43.5084	56.4916	48.96	224	0.875	bilinear
125	densenet169	26.8113	73.1887	45.3752	54.6248	14.15	224	0.875	bicubic
126	seresnet152	26.6718	73.3282	43.9447	56.0553	66.82	224	0.875	bilinear
127	tf_efficientnet_el	26.6226	73.3774	44.6364	55.3636	10.59	300	0.904	bicubic
128	efficientnet_es	26.6168	73.3832	45.106	54.894	5.44	224	0.875	bicubic
129	res2net50_26w_6s	26.5873	73.4127	43.9781	56.0219	37.05	224	0.875	bilinear
130	dla60x	26.5637	73.4363	45.0392	54.9608	17.65	224	0.875	bilinear
131	tf_efficientnet_b0	26.491	73.509	45.6562	54.3438	5.29	224	0.875	bicubic
132	res2net50_14w_8s	26.4713	73.5287	44.3691	55.6309	25.06	224	0.875	bilinear
133	gluon_resnet50_v1b	26.432	73.568	44.0331	55.9669	25.56	224	0.875	bicubic
134	dpn68	26.1216	73.8784	44.2335	55.7665	12.61	224	0.875	bicubic
135	hrnet_w18	25.9761	74.0239	44.8093	55.1907	21.3	224	0.875	bilinear
136	resnet34	25.8838	74.1162	43.9899	56.0101	21.8	224	0.875	bilinear
137	res2net50_26w_4s	25.87	74.13	43.1606	56.8394	25.7	224	0.875	bilinear
138	tresnet_m_448	25.8504	74.1496	42.8678	57.1322	31.39	448	0.875	bilinear
139	gluon_resnet50_v1c	25.7954	74.2046	43.0172	56.9828	25.58	224	0.875	bicubic
140	selecsls60	25.7285	74.2715	44.0685	55.9315	30.67	224	0.875	bicubic
141	dla60_res2net	25.6421	74.3579	43.589	56.411	21.15	224	0.875	bilinear
142	dla60_res2next	25.6382	74.3618	43.6696	56.3304	17.33	224	0.875	bilinear
143	tf_efficientnet_lite1	25.5065	74.4935	43.5831	56.4169	5.42	240	0.882	bicubic
144	mixnet_l	25.4986	74.5014	43.4632	56.5368	7.33	224	0.875	bicubic
145	efficientnet_b1	25.4829	74.5171	43.2864	56.7136	7.79	240	0.875	bicubic
146	tv_resnext50_32x4d	25.4692	74.5308	42.7912	57.2088	25.03	224	0.875	bilinear
147	tf_mixnet_l	25.42	74.58	42.5436	57.4564	7.33	224	0.875	bicubic
148	res2next50	25.3945	74.6055	42.4925	57.5075	24.67	224	0.875	bilinear
149	selecsls60b	25.3277	74.6723	43.5536	56.4464	32.77	224	0.875	bicubic
150	seresnet101	25.3277	74.6723	42.8285	57.1715	49.33	224	0.875	bilinear
151	dla102	25.3139	74.6861	43.8366	56.1634	33.73	224	0.875	bilinear
152	wide_resnet50_2	25.31	74.69	42.1781	57.8219	68.88	224	0.875	bilinear
153	seresnext50_32x4d	25.2176	74.7824	41.9383	58.0617	27.56	224	0.875	bilinear
154	res2net50_48w_2s	25.0231	74.9769	42.2017	57.7983	25.29	224	0.875	bilinear
155	efficientnet_b0	25.0152	74.9848	42.7853	57.2147	5.29	224	0.875	bicubic
156	gluon_resnet34_v1b	24.9484	75.0516	42.237	57.763	21.8	224	0.875	bicubic
157	mobilenetv2_120d	24.9327	75.0673	43.0643	56.9357	5.83	224	0.875	bicubic
158	dla60	24.9268	75.0732	43.3021	56.6979	22.33	224	0.875	bilinear
159	tf_efficientnet_em	24.5338	75.4662	42.41	57.59	6.9	240	0.882	bicubic
160	tf_efficientnet_lite2	24.5299	75.4701	42.292	57.708	6.09	260	0.89	bicubic
161	skresnet18	24.4945	75.5055	42.5377	57.4623	11.96	224	0.875	bicubic
162	tf_efficientnet_lite0	24.3707	75.6293	42.5102	57.4898	4.65	224	0.875	bicubic
163	tv_resnet50	24.0917	75.9083	41.3095	58.6905	25.56	224	0.875	bilinear
164	seresnet34	24.0366	75.9634	41.8951	58.1049	21.96	224	0.875	bilinear
165	densenet121	23.846	76.154	41.9207	58.0793	7.98	224	0.875	bicubic
166	tf_efficientnet_es	23.8244	76.1756	41.3193	58.6807	5.44	224	0.875	bicubic
167	mobilenetv2_140	23.7104	76.2896	41.4687	58.5313	6.11	224	0.875	bicubic
168	mixnet_m	23.7085	76.2915	41.1386	58.8614	5.01	224	0.875	bicubic
169	dla34	23.677	76.323	41.5434	58.4566	15.78	224	0.875	bilinear
170	seresnet50	23.6436	76.3564	40.0814	59.9186	28.09	224	0.875	bilinear
171	tf_mixnet_m	23.4786	76.5214	41.0049	58.9951	5.01	224	0.875	bicubic
172	tv_resnet34	23.4727	76.5273	41.3665	58.6335	21.8	224	0.875	bilinear
173	selecsls42b	23.3665	76.6335	40.6768	59.3232	32.46	224	0.875	bicubic
174	mobilenetv2_110d	23.0698	76.9302	40.7436	59.2564	4.52	224	0.875	bicubic
175	mobilenetv3_large_100	22.665	77.335	40.7848	59.2152	5.48	224	0.875	bicubic
176	mobilenetv3_rw	22.6257	77.3743	40.3702	59.6298	5.48	224	0.875	bicubic
177	tf_mobilenetv3_large_100	22.5707	77.4293	39.7591	60.2409	5.48	224	0.875	bilinear
178	hrnet_w18_small_v2	22.3408	77.6592	39.8475	60.1525	15.6	224	0.875	bilinear
179	seresnext26tn_32x4d	22.0028	77.9972	38.4916	61.5084	16.81	224	0.875	bicubic
180	seresnext26t_32x4d	21.9871	78.0129	38.5663	61.4337	16.82	224	0.875	bicubic
181	resnet26d	21.9144	78.0856	38.6174	61.3826	16.01	224	0.875	bicubic
182	semnasnet_100	21.8967	78.1033	38.6036	61.3964	3.89	224	0.875	bicubic
183	gluon_resnet18_v1b	21.5449	78.4551	38.8728	61.1272	11.69	224	0.875	bicubic
184	fbnetc_100	21.4919	78.5081	38.1654	61.8346	5.57	224	0.875	bilinear
185	mnasnet_100	21.3504	78.6496	37.7154	62.2846	4.38	224	0.875	bicubic
186	resnet26	21.2954	78.7046	38.0161	61.9839	16	224	0.875	bicubic
187	ssl_resnet18	21.2777	78.7223	39.1145	60.8855	11.69	224	0.875	bilinear
188	mixnet_s	21.258	78.742	38.1929	61.8071	4.13	224	0.875	bicubic
189	seresnext26d_32x4d	21.2541	78.7459	37.2851	62.7149	16.81	224	0.875	bicubic
190	seresnext26_32x4d	21.093	78.907	37.6388	62.3612	16.79	224	0.875	bicubic
191	spnasnet_100	20.867	79.133	37.8923	62.1077	4.42	224	0.875	bilinear
192	seresnet18	20.8395	79.1605	37.6447	62.3553	11.78	224	0.875	bicubic
193	mobilenetv2_100	20.7609	79.2391	37.7508	62.2492	3.5	224	0.875	bicubic
194	tf_mixnet_s	20.4779	79.5221	36.6268	63.3732	4.13	224	0.875	bicubic
195	tf_mobilenetv3_large_075	20.3718	79.6282	36.7702	63.2298	3.99	224	0.875	bilinear
196	hrnet_w18_small	20.3659	79.6341	37.0945	62.9055	13.19	224	0.875	bilinear
197	resnet18	20.2283	79.7717	37.2595	62.7405	11.69	224	0.875	bilinear
198	tf_mobilenetv3_large_minimal_100	20.1163	79.8837	36.9038	63.0962	3.92	224	0.875	bilinear
199	dla60x_c	16.3257	83.6743	31.775	68.225	1.34	224	0.875	bilinear
200	tf_mobilenetv3_small_100	16.2334	83.7666	31.2229	68.7771	2.54	224	0.875	bilinear
201	tf_mobilenetv3_small_075	14.9404	85.0596	29.5722	70.4278	2.04	224	0.875	bilinear
202	dla46_c	14.6613	85.3387	29.3737	70.6263	1.31	224	0.875	bilinear
203	dla46x_c	14.3803	85.6197	29.1772	70.8228	1.08	224	0.875	bilinear
204	tf_mobilenetv3_small_minimal_100	13.9677	86.0323	27.9805	72.0195	2.04	224	0.875	bilinear