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	58.8104	41.1896	81.0765	18.9235	828.41	224	0.875	bilinear
3	ig_resnext101_32x32d	58.3859	41.6141	80.3808	19.6192	468.53	224	0.875	bilinear
4	ig_resnext101_32x16d	57.6903	42.3097	79.9053	20.0947	194.03	224	0.875	bilinear
5	swsl_resnext101_32x16d	57.4584	42.5416	80.3848	19.6152	194.03	224	0.875	bilinear
6	swsl_resnext101_32x8d	56.4385	43.5615	78.9444	21.0556	88.79	224	0.875	bilinear
7	ig_resnext101_32x8d	54.9176	45.0824	77.5335	22.4665	88.79	224	0.875	bilinear
8	swsl_resnext101_32x4d	53.6029	46.3971	76.3466	23.6534	44.18	224	0.875	bilinear
9	tf_efficientnet_l2_ns_475	51.4944	48.5056	73.9276	26.0724	480.31	475	0.936	bicubic
10	swsl_resnext50_32x4d	50.4372	49.5628	73.3675	26.6325	25.03	224	0.875	bilinear
11	swsl_resnet50	49.5412	50.4588	72.3339	27.6661	25.56	224	0.875	bilinear
12	tf_efficientnet_b7_ns	47.8001	52.1999	69.6398	30.3602	66.35	600	0.949	bicubic
13	tf_efficientnet_b6_ns	47.7608	52.2392	69.968	30.032	43.04	528	0.942	bicubic
14	tf_efficientnet_l2_ns	47.6311	52.3689	70.0033	29.9967	480.31	800	0.961	bicubic
15	tf_efficientnet_b8_ap	45.7741	54.2259	67.9106	32.0894	87.41	672	0.954	bicubic
16	tf_efficientnet_b5_ns	45.615	54.385	67.8418	32.1582	30.39	456	0.934	bicubic
17	tf_efficientnet_b4_ns	43.4495	56.5505	65.5191	34.4809	19.34	380	0.922	bicubic
18	tf_efficientnet_b8	42.5082	57.4918	64.8568	35.1432	87.41	672	0.954	bicubic
19	tf_efficientnet_b7	41.4314	58.5686	63.0175	36.9825	66.35	600	0.949	bicubic
20	tf_efficientnet_b7_ap	41.4294	58.5706	62.8741	37.1259	66.35	600	0.949	bicubic
21	tf_efficientnet_b5_ap	41.4176	58.5824	62.0841	37.9159	30.39	456	0.934	bicubic
22	tf_efficientnet_b6_ap	41.0993	58.9007	62.3553	37.6447	43.04	528	0.942	bicubic
23	tf_efficientnet_b4_ap	40.4842	59.5158	61.7226	38.2774	19.34	380	0.922	bicubic
24	tf_efficientnet_b3_ns	39.5842	60.4158	61.4534	38.5466	12.23	300	0.904	bicubic
25	tf_efficientnet_b5	38.356	61.644	59.9128	40.0872	30.39	456	0.934	bicubic
26	tf_efficientnet_b3_ap	37.0552	62.9448	57.2403	42.7597	12.23	300	0.904	bicubic
27	tf_efficientnet_b2_ns	36.1827	63.8173	57.5507	42.4493	9.11	260	0.89	bicubic
28	swsl_resnet18	35.8584	64.1416	58.4547	41.5453	11.69	224	0.875	bilinear
29	ssl_resnext101_32x16d	34.6047	65.3953	55.9315	44.0685	194.03	224	0.875	bilinear
30	tf_efficientnet_b1_ns	34.1567	65.8433	55.4894	44.5106	7.79	240	0.882	bicubic
31	tf_efficientnet_b4	34.0643	65.9357	54.1984	45.8016	19.34	380	0.922	bicubic
32	ssl_resnext101_32x8d	34.0172	65.9828	55.6014	44.3986	88.79	224	0.875	bilinear
33	tf_efficientnet_b6	33.9975	66.0025	54.5442	45.4558	43.04	528	0.942	bicubic
34	tf_efficientnet_b3	32.8598	67.1402	52.9505	47.0495	12.23	300	0.904	bicubic
35	inception_resnet_v2	32.7379	67.2621	50.6475	49.3525	55.84	299	0.8975	bicubic
36	gluon_resnet152_v1d	32.734	67.266	51.0877	48.9123	60.21	224	0.875	bicubic
37	tf_efficientnet_b2_ap	32.6809	67.3191	52.2392	47.7608	9.11	260	0.89	bicubic
38	nasnetalarge	32.5964	67.4036	49.7789	50.2211	88.75	331	0.875	bicubic
39	pnasnet5large	32.5296	67.4704	50.1916	49.8084	86.06	331	0.875	bicubic
40	ens_adv_inception_resnet_v2	32.3705	67.6295	50.4274	49.5726	55.84	299	0.8975	bicubic
41	gluon_resnet152_v1s	32.3312	67.6688	50.5257	49.4743	60.32	224	0.875	bicubic
42	gluon_seresnext101_64x4d	32.2054	67.7946	50.3193	49.6807	88.23	224	0.875	bicubic
43	gluon_seresnext101_32x4d	32.1071	67.8929	51.237	48.763	48.96	224	0.875	bicubic
44	efficientnet_b3a	31.7318	68.2682	51.3254	48.6746	12.23	320	1	bicubic
45	efficientnet_b3	31.555	68.445	51.2763	48.7237	12.23	300	0.904	bicubic
46	resnet50	31.5471	68.4529	50.17	49.83	25.56	224	0.875	bicubic
47	ssl_resnext101_32x4d	31.4233	68.5767	52.1213	47.8787	44.18	224	0.875	bilinear
48	inception_v4	31.3781	68.6219	49.2444	50.7556	42.68	299	0.875	bicubic
49	gluon_resnet101_v1s	31.1148	68.8852	49.7927	50.2073	44.67	224	0.875	bicubic
50	tf_efficientnet_cc_b0_8e	31.0873	68.9127	50.7615	49.2385	24.01	224	0.875	bicubic
51	gluon_resnet152_v1c	30.991	69.009	48.9241	51.0759	60.21	224	0.875	bicubic
52	gluon_resnext101_64x4d	30.9871	69.0129	48.5488	51.4512	83.46	224	0.875	bicubic
53	tf_efficientnet_cc_b1_8e	30.8986	69.1014	50.0796	49.9204	39.72	240	0.882	bicubic
54	gluon_resnext101_32x4d	30.877	69.123	48.537	51.463	44.18	224	0.875	bicubic
55	dpn107	30.6785	69.3215	48.8102	51.1898	86.92	224	0.875	bicubic
56	gluon_resnet152_v1b	30.6235	69.3765	48.5213	51.4787	60.19	224	0.875	bicubic
57	ssl_resnext50_32x4d	30.594	69.406	50.6573	49.3427	25.03	224	0.875	bilinear
58	gluon_resnet101_v1d	30.5233	69.4767	47.9495	52.0505	44.57	224	0.875	bicubic
59	efficientnet_b2a	30.4349	69.5651	49.6984	50.3016	9.11	288	1	bicubic
60	tf_efficientnet_b1_ap	30.4211	69.5789	49.5529	50.4471	7.79	240	0.882	bicubic
61	dpn98	30.0674	69.9326	48.2442	51.7558	61.57	224	0.875	bicubic
62	tf_efficientnet_b2	30.0261	69.9739	49.5805	50.4195	9.11	260	0.89	bicubic
63	dpn131	30.0242	69.9758	48.146	51.854	79.25	224	0.875	bicubic
64	senet154	30.0006	69.9994	48.034	51.966	115.09	224	0.875	bilinear
65	dpn92	29.9534	70.0466	49.1619	50.8381	37.67	224	0.875	bicubic
66	gluon_senet154	29.8768	70.1232	47.8944	52.1056	115.09	224	0.875	bicubic
67	xception	29.865	70.135	48.6864	51.3136	22.86	299	0.8975	bicubic
68	adv_inception_v3	29.8159	70.1841	47.8473	52.1527	23.83	299	0.875	bicubic
69	efficientnet_b2	29.6154	70.3846	48.7767	51.2233	9.11	260	0.875	bicubic
70	gluon_xception65	29.5506	70.4494	47.5054	52.4946	39.92	299	0.875	bicubic
71	resnext101_32x8d	29.4386	70.5614	48.4859	51.5141	88.79	224	0.875	bilinear
72	ssl_resnet50	29.4229	70.5771	49.7809	50.2191	25.56	224	0.875	bilinear
73	gluon_inception_v3	29.1242	70.8758	46.9571	53.0429	23.83	299	0.875	bicubic
74	hrnet_w64	28.9886	71.0114	47.1418	52.8582	128.06	224	0.875	bilinear
75	tf_efficientnet_b0_ns	28.9021	71.0979	49.0106	50.9894	5.29	224	0.875	bicubic
76	tf_efficientnet_b1	28.8864	71.1136	47.5034	52.4966	7.79	240	0.882	bicubic
77	gluon_resnet101_v1b	28.8785	71.1215	46.3892	53.6108	44.55	224	0.875	bicubic
78	skresnext50_32x4d	28.8176	71.1824	46.4973	53.5027	27.48	224	0.875	bicubic
79	gluon_seresnext50_32x4d	28.6506	71.3494	46.4364	53.5636	27.56	224	0.875	bicubic
80	hrnet_w40	28.6408	71.3592	47.4543	52.5457	57.56	224	0.875	bilinear
81	resnet152	28.5327	71.4673	47.1182	52.8818	60.19	224	0.875	bilinear
82	hrnet_w48	28.4128	71.5872	47.5859	52.4141	77.47	224	0.875	bilinear
83	gluon_resnext50_32x4d	28.3755	71.6245	45.3281	54.6719	25.03	224	0.875	bicubic
84	tf_efficientnet_b0_ap	28.346	71.654	47.5309	52.4691	5.29	224	0.875	bicubic
85	dla102x2	28.3146	71.6854	46.7606	53.2394	41.75	224	0.875	bilinear
86	tf_efficientnet_cc_b0_4e	28.3146	71.6854	47.3639	52.6361	13.31	224	0.875	bicubic
87	dla169	28.3126	71.6874	47.3914	52.6086	53.99	224	0.875	bilinear
88	mixnet_xl	28.2871	71.7129	46.7016	53.2984	11.9	224	0.875	bicubic
89	gluon_resnet50_v1d	28.2458	71.7542	45.8783	54.1217	25.58	224	0.875	bicubic
90	wide_resnet101_2	28.1082	71.8918	46.401	53.599	126.89	224	0.875	bilinear
91	gluon_resnet101_v1c	28.1043	71.8957	45.9608	54.0392	44.57	224	0.875	bicubic
92	densenet161	28.0807	71.9193	46.6407	53.3593	28.68	224	0.875	bicubic
93	dpn68b	27.8842	72.1158	47.468	52.532	12.61	224	0.875	bicubic
94	tf_inception_v3	27.782	72.218	45.7191	54.2809	23.83	299	0.875	bicubic
95	res2net101_26w_4s	27.7683	72.2317	45.1787	54.8213	45.21	224	0.875	bilinear
96	hrnet_w44	27.6209	72.3791	45.837	54.163	67.06	224	0.875	bilinear
97	inception_v3	27.5561	72.4439	45.2632	54.7368	27.16	299	0.875	bicubic
98	hrnet_w30	27.3812	72.6188	46.5543	53.4457	37.71	224	0.875	bilinear
99	hrnet_w32	27.3694	72.6306	45.9942	54.0058	41.23	224	0.875	bilinear
100	gluon_resnet50_v1s	27.3261	72.6739	45.222	54.778	25.68	224	0.875	bicubic
101	densenet201	27.2652	72.7348	46.2222	53.7778	20.01	224	0.875	bicubic
102	res2net50_26w_8s	27.0785	72.9215	44.4281	55.5719	48.4	224	0.875	bilinear
103	dla102x	27.0609	72.9391	45.4735	54.5265	26.77	224	0.875	bilinear
104	resnet101	26.9626	73.0374	45.2337	54.7663	44.55	224	0.875	bilinear
105	resnext50d_32x4d	26.8761	73.1239	44.4359	55.5641	25.05	224	0.875	bicubic
106	densenet169	26.829	73.171	45.3733	54.6267	14.15	224	0.875	bicubic
107	seresnext101_32x4d	26.8113	73.1887	43.4966	56.5034	48.96	224	0.875	bilinear
108	seresnet152	26.6757	73.3243	43.9466	56.0534	66.82	224	0.875	bilinear
109	tf_efficientnet_el	26.6226	73.3774	44.6482	55.3518	10.59	300	0.904	bicubic
110	efficientnet_es	26.6207	73.3793	45.1119	54.8881	5.44	224	0.875	bicubic
111	res2net50_26w_6s	26.5951	73.4049	43.9899	56.0101	37.05	224	0.875	bilinear
112	dla60x	26.5519	73.4481	45.0235	54.9765	17.65	224	0.875	bilinear
113	tf_efficientnet_b0	26.4851	73.5149	45.6464	54.3536	5.29	224	0.875	bicubic
114	res2net50_14w_8s	26.4831	73.5169	44.3711	55.6289	25.06	224	0.875	bilinear
115	gluon_resnet50_v1b	26.436	73.564	44.0351	55.9649	25.56	224	0.875	bicubic
116	dpn68	26.1294	73.8706	44.2276	55.7724	12.61	224	0.875	bicubic
117	resnext50_32x4d	26.1157	73.8843	42.9798	57.0202	25.03	224	0.875	bicubic
118	hrnet_w18	25.986	74.014	44.8132	55.1868	21.3	224	0.875	bilinear
119	resnet34	25.8877	74.1123	43.982	56.018	21.8	224	0.875	bilinear
120	res2net50_26w_4s	25.8661	74.1339	43.1547	56.8453	25.7	224	0.875	bilinear
121	gluon_resnet50_v1c	25.7836	74.2164	43.0309	56.9691	25.58	224	0.875	bicubic
122	selecsls60	25.7285	74.2715	44.0645	55.9355	30.67	224	0.875	bicubic
123	dla60_res2net	25.6519	74.3481	43.5988	56.4012	21.15	224	0.875	bilinear
124	dla60_res2next	25.6401	74.3599	43.6696	56.3304	17.33	224	0.875	bilinear
125	mixnet_l	25.5124	74.4876	43.4554	56.5446	7.33	224	0.875	bicubic
126	efficientnet_b1	25.4692	74.5308	43.2844	56.7156	7.79	240	0.875	bicubic
127	tv_resnext50_32x4d	25.4554	74.5446	42.7872	57.2128	25.03	224	0.875	bilinear
128	tf_mixnet_l	25.422	74.578	42.5337	57.4663	7.33	224	0.875	bicubic
129	res2next50	25.3886	74.6114	42.5082	57.4918	24.67	224	0.875	bilinear
130	seresnet101	25.3336	74.6664	42.8246	57.1754	49.33	224	0.875	bilinear
131	selecsls60b	25.3316	74.6684	43.5595	56.4405	32.77	224	0.875	bicubic
132	dla102	25.3159	74.6841	43.8268	56.1732	33.73	224	0.875	bilinear
133	wide_resnet50_2	25.308	74.692	42.1781	57.8219	68.88	224	0.875	bilinear
134	seresnext50_32x4d	25.2098	74.7902	41.9364	58.0636	27.56	224	0.875	bilinear
135	res2net50_48w_2s	25.027	74.973	42.2075	57.7925	25.29	224	0.875	bilinear
136	efficientnet_b0	25.0152	74.9848	42.7872	57.2128	5.29	224	0.875	bicubic
137	gluon_resnet34_v1b	24.9386	75.0614	42.2429	57.7571	21.8	224	0.875	bicubic
138	dla60	24.9327	75.0673	43.2962	56.7038	22.33	224	0.875	bilinear
139	tf_efficientnet_em	24.5416	75.4584	42.4119	57.5881	6.9	240	0.882	bicubic
140	skresnet18	24.4827	75.5173	42.5357	57.4643	11.96	224	0.875	bicubic
141	tv_resnet50	24.07	75.93	41.3134	58.6866	25.56	224	0.875	bilinear
142	seresnet34	24.0268	75.9732	41.9089	58.0911	21.96	224	0.875	bilinear
143	densenet121	23.8441	76.1559	41.9246	58.0754	7.98	224	0.875	bicubic
144	tf_efficientnet_es	23.8185	76.1815	41.3311	58.6689	5.44	224	0.875	bicubic
145	mixnet_m	23.7104	76.2896	41.1405	58.8595	5.01	224	0.875	bicubic
146	dla34	23.6692	76.3308	41.5532	58.4468	15.78	224	0.875	bilinear
147	seresnet50	23.6515	76.3485	40.0912	59.9088	28.09	224	0.875	bilinear
148	tf_mixnet_m	23.4844	76.5156	40.9892	59.0108	5.01	224	0.875	bicubic
149	tv_resnet34	23.4727	76.5273	41.3665	58.6335	21.8	224	0.875	bilinear
150	selecsls42b	23.3567	76.6433	40.6768	59.3232	32.46	224	0.875	bicubic
151	mobilenetv3_rw	22.6296	77.3704	40.3741	59.6259	5.48	224	0.875	bicubic
152	tf_mobilenetv3_large_100	22.5687	77.4313	39.7669	60.2331	5.48	224	0.875	bilinear
153	hrnet_w18_small_v2	22.3369	77.6631	39.8613	60.1387	15.6	224	0.875	bilinear
154	seresnext26tn_32x4d	21.991	78.009	38.4818	61.5182	16.81	224	0.875	bicubic
155	seresnext26t_32x4d	21.9851	78.0149	38.5702	61.4298	16.82	224	0.875	bicubic
156	resnet26d	21.9065	78.0935	38.6193	61.3807	16.01	224	0.875	bicubic
157	semnasnet_100	21.9026	78.0974	38.5997	61.4003	3.89	224	0.875	bicubic
158	gluon_resnet18_v1b	21.5489	78.4511	38.8689	61.1311	11.69	224	0.875	bicubic
159	fbnetc_100	21.484	78.516	38.1615	61.8385	5.57	224	0.875	bilinear
160	mnasnet_100	21.3504	78.6496	37.7193	62.2807	4.38	224	0.875	bicubic
161	resnet26	21.2954	78.7046	38.018	61.982	16	224	0.875	bicubic
162	ssl_resnet18	21.2777	78.7223	39.1126	60.8874	11.69	224	0.875	bilinear
163	mixnet_s	21.2541	78.7459	38.187	61.813	4.13	224	0.875	bicubic
164	seresnext26d_32x4d	21.2521	78.7479	37.3106	62.6894	16.81	224	0.875	bicubic
165	seresnext26_32x4d	21.093	78.907	37.6329	62.3671	16.79	224	0.875	bicubic
166	spnasnet_100	20.8631	79.1369	37.8962	62.1038	4.42	224	0.875	bilinear
167	seresnet18	20.8375	79.1625	37.6191	62.3809	11.78	224	0.875	bicubic
168	tf_mixnet_s	20.47	79.53	36.6071	63.3929	4.13	224	0.875	bicubic
169	hrnet_w18_small	20.3679	79.6321	37.0925	62.9075	13.19	224	0.875	bilinear
170	tf_mobilenetv3_large_075	20.3659	79.6341	36.7643	63.2357	3.99	224	0.875	bilinear
171	resnet18	20.2283	79.7717	37.2615	62.7385	11.69	224	0.875	bilinear
172	tf_mobilenetv3_large_minimal_100	20.1222	79.8778	36.9078	63.0922	3.92	224	0.875	bilinear
173	dla60x_c	16.31	83.69	31.7613	68.2387	1.34	224	0.875	bilinear
174	tf_mobilenetv3_small_100	16.2275	83.7725	31.2229	68.7771	2.54	224	0.875	bilinear
175	tf_mobilenetv3_small_075	14.9443	85.0557	29.5722	70.4278	2.04	224	0.875	bilinear
176	dla46_c	14.6574	85.3426	29.3796	70.6204	1.31	224	0.875	bilinear
177	dla46x_c	14.3823	85.6177	29.191	70.809	1.08	224	0.875	bilinear
178	tf_mobilenetv3_small_minimal_100	13.9637	86.0363	27.9884	72.0116	2.04	224	0.875	bilinear