results_imagenet.md

Flowvision Model Zoo

model	top1	top1_err	top5	top5_err	parameters	img_size	crop_pct	interpolation
alexnet	56.554	43.446	79.082	20.918	61.1M	224	0.875	bilinear
vgg11	69.040	30.960	88.634	11.366	132.9M	224	0.875	bilinear
vgg13	69.940	30.060	89.256	10.742	133.1M	224	0.875	bilinear
vgg16	71.586	28.414	90.390	9.610	138.4M	224	0.875	bilinear
vgg19	72.394	27.606	90.886	9.114	143.7M	224	0.875	bilinear
vgg11_bn	70.378	29.622	89.814	10.186	132.9M	224	0.875	bilinear
vgg13_bn	71.554	28.446	90.374	9.626	133.1M	224	0.875	bilinear
vgg16_bn	73.370	26.630	91.502	8.468	138.4M	224	0.875	bilinear
vgg19_bn	74.242	25.758	91.846	8.154	143.7M	224	0.875	bilinear
resnet18	69.760	30.240	89.082	10.918	11.7M	224	0.875	bilinear
resnet34	73.302	26.698	91.420	8.580	21.8M	224	0.875	bilinear
resnet50	76.146	23.854	92.872	7.128	25.6M	224	0.875	bilinear
resnet101	77.366	22.634	93.562	6.438	44.6M	224	0.875	bilinear
resnet152	78.314	21.686	94.060	5.940	60.2M	224	0.875	bilinear
squeezenet1_0	58.096	41.904	80.420	19.580	1.2M	224	0.875	bilinear
squeezenet1_0	58.188	41.813	80.616	19.384	1.2M	224	0.875	bilinear
densenet121	74.438	25.562	91.970	8.030	8.0M	224	0.875	bilinear
densenet169	75.588	24.412	92.802	7.198	14.2M	224	0.875	bilinear
densenet201	76.886	23.114	93.372	6.628	20.0M	224	0.875	bilinear
densenet161	77.112	22.888	93.556	6.444	28.7M	224	0.875	bilinear
googlenet	69.772	30.228	89.534	10.466	6.6M	224	0.875	bilinear
inception_v3	77.508	22.492	93.656	6.344	27.2M	299	1.000	bilinear
shufflenet_v2_x0_5	60.552	39.448	81.736	18.264	1.4M	224	0.875	bilinear
shufflenet_v2_x1_0	69.356	30.644	88.314	11.686	2.3M	224	0.875	bilinear
mobilenet_v2	71.870	28.130	90.294	9.706	3.5M	224	0.875	bilinear
mobilenet_v3_small	67.668	32.332	87.408	12.592	2.5M	224	0.875	bilinear
mobilenet_v3_large	74.054	25.946	91.340	8.660	5.5M	224	0.875	bilinear
resnext50_32x4d	77.608	22.392	93.688	6.312	88.8M	224	0.875	bilinear
resnext101_32x8d	79.308	20.692	94.530	5.470	25.0M	224	0.875	bilinear
wide_resnet50_2	78.480	21.520	94.084	5.916	68.9M	224	0.875	bilinear
wide_resnet101_2	78.842	21.158	94.280	5.780	126.9M	224	0.875	bilinear
senet154	81.324	18.676	95.508	4.492	115.1M	224	0.875	bilinear
se_resent50	77.642	22.358	93.748	6.252	28.1M	224	0.875	bilinear
se_resnet101	78.390	21.610	94.254	5.746	49.3M	224	0.875	bilinear
se_resnet152	78.666	21.334	94.380	5.620	66.8M	224	0.875	bilinear
se_resnext50_32x4d	79.080	20.920	94.432	5.568	27.6M	224	0.875	bilinear
se_resnext101_32x4d	80.236	19.764	95.034	4.966	49.0M	224	0.875	bilinear
res2net50_14w_8s	78.152	21.848	93.842	6.158	25.1M	224	0.875	bilinear
res2net50_26w_4s	77.946	22.054	93.852	6.148	25.7M	224	0.875	bilinear
res2net50_26w_6s	78.574	21.426	94.126	5.874	37.1M	224	0.875	bilinear
res2net50_26w_8s	79.210	20.790	94.362	5.638	48.4M	224	0.875	bilinear
res2net50_48w_2s	77.514	22.486	93.548	6.452	25.3M	224	0.875	bilinear
res2net101_26w_4s	79.196	20.804	94.440	5.560	45.2M	224	0.875	bilinear
mnasnet0_5	67.734	32.266	87.490	12.510	2.2M	224	0.875	biilnear
mnasnet1_0	73.456	26.544	91.510	8.490	4.4M	224	0.875	biilnear
ghostnet	73.982	26.018	91.462	8.538	5.2M	224	0.875	biilnear
resnest50	80.958	19.042	95.382	4.618	27.5M	224	0.875	bilinear
resnest101	82.890	17.110	96.324	3.676	48.3M	256	0.875	bilinear
resnest200	83.850	16.150	96.882	3.118	70.2M	320	0.909	bicubic
resnest269	84.510	15.490	96.992	3.008	110.9M	416	0.928	bicubic
efficientnet_b0	77.692	22.308	93.532	6.468	5.3M	224	0.875	bicubic
efficientnet_b1	78.792	21.208	94.342	5.658	7.8M	256	1.000	bicubic
efficientnet_b2	80.608	19.392	95.310	4.690	9.1M	288	1.000	bicubic
efficientnet_b3	82.240	17.760	96.116	3.884	12.2M	320	1.000	bicubic
efficientnet_b4	83.418	16.582	96.598	3.402	19.3M	384	1.000	bicubic
efficientnet_b5	83.444	16.556	96.628	3.372	30.4M	456	1.000	bicubic
efficientnet_b6	84.008	15.992	96.916	3.084	43.0M	528	1.000	bicubic
efficientnet_b7	84.112	15.757	96.908	3.092	66.3M	600	1.000	bicubic
regnet_y_400mf	73.084	26.916	91.294	8.706	4.3M	224	0.875	bilinear
regnet_y_800mf	75.734	24.266	92.710	7.290	6.4M	224	0.875	bilinear
regnet_y_1_6gf	77.276	22.724	93.574	6.426	11.2M	224	0.875	bilinear
regnet_y_3_2gf	78.334	21.666	94.196	5.804	19.4M	224	0.875	bilinear
regnet_y_8gf	79.342	20.658	94.740	5.260	39.4M	224	0.875	bilinear
regnet_y_16gf	80.056	19.944	95.044	4.956	83.6M	224	0.875	bilinear
regnet_y_32gf	80.604	19.396	95.160	4.840	145.0M	224	0.875	bilinear
regnet_x_400mf	72.544	27.456	90.860	9.140	5.5M	224	0.875	bilinear
regnet_x_800mf	74.884	25.116	92.428	7.572	7.3M	224	0.875	bilinear
regnet_x_1_6gf	76.338	23.662	93.050	6.950	9.2M	224	0.875	bilinear
regnet_x_3_2gf	78.136	21.864	93.920	6.080	15.3M	224	0.875	bilinear
regnet_x_8gf	79.240	20.760	94.548	5.452	39.6M	224	0.875	bilinear
regnet_x_16gf	79.898	20.102	94.858	5.142	54.3M	224	0.875	bilinear
regnet_x_32gf	80.226	19.774	95.086	4.914	107.8M	224	0.875	bilinear
rexnetv1_1_0	77.860	22.140	93.880	6.120	4.8M	224	0.875	bicubic
rexnetv1_1_3	79.492	20.508	94.674	5.326	7.6M	224	0.875	bicubic
rexnetv1_1_5	80.314	19.686	95.162	4.838	9.7M	224	0.875	bicubic
rexnetv1_2_0	81.626	18.374	95.666	4.334	16.4M	224	0.875	bicubic
rexnetv1_3_0	82.792	17.208	96.242	3.758	34.7M	224	0.875	bicubic
rexnet_lite_1_0	76.176	23.824	92.824	7.176	4.8M	224	0.875	bicubic
rexnet_lite_1_3	77.726	22.274	93.788	6.212	6.7M	224	0.875	bicubic
rexnet_lite_1_5	78.588	21.412	94.192	5.828	8.3M	224	0.875	bicubic
rexnet_lite_2_0	80.134	19.866	95.006	4.994	13.0M	224	0.875	bicubic
vit_tiny_patch16_224	75.458	24.542	92.850	7.150	5.7M	224	0.900	bicubic
vit_tiny_patch16_384	78.440	21.560	94.546	5.454	5.7M	384	1.000	bicubic
vit_small_patch32_224	75.990	24.010	93.274	6.726	22.9M	224	0.900	bicubic
vit_small_patch32_384	80.484	19.516	95.600	4.400	22.9M	384	1.000	bicubic
vit_small_patch16_224	81.380	18.620	96.136	3.864	22.1M	224	0.900	bicubic
vit_small_patch16_384	83.790	16.210	97.106	2.894	22.2M	384	1.000	bicubic
vit_base_patch32_224	80.720	19.280	95.566	4.434	88.2M	224	0.900	bicubic
vit_base_patch32_384	83.350	16.650	96.842	3.158	88.3M	384	1.000	bicubic
vit_base_patch16_224	84.528	15.472	97.294	2.706	86.6M	224	0.900	bicubic
vit_base_patch16_384	85.992	14.008	98.002	1.998	86.9M	384	1.000	bicubic
vit_base_patch8_224	85.800	14.200	97.790	2.210	86.6M	224	0.900	bicubic
vit_large_patch16_224	85.840	14.160	97.818	2.182	304.3M	224	0.900	bicubic
vit_large_patch16_384	87.084	12.916	98.302	1.698	304.7M	384	1.000	bicubic
vit_large_patch32_384	81.512	18.488	96.090	3.910	306.6M	384	1.000	bicubic
vit_base_patch16_224_miil	84.266	15.734	96.804	3.196	86.6M	224	0.875	bilinear
vit_base_patch16_224_sam	80.240	19.760	94.758	5.242	86.5M	224	0.900	bicubic
vit_base_patch32_224_sam	73.696	26.304	91.016	8.984	88.2M	224	0.900	bicubic
deit_tiny_patch16_224	72.176	27.824	91.114	8.886	5.7M	224	0.900	bicubic
deit_small_patch16_224	79.852	20.148	95.044	4.956	22.1M	224	0.900	bicubic
deit_base_patch16_224	81.990	18.010	95.736	4.264	86.6M	224	0.900	bicubic
deit_base_patch16_384	83.102	16.898	96.368	3.632	86.9M	384	1.000	bicubic
deit_tiny_distilled_patch16_224	74.504	25.496	91.890	8.110	5.9M	224	0.900	bicubic
deit_small_distilled_patch16_224	81.216	18.784	95.386	4.614	22.4M	224	0.900	bicubic
deit_base_distilled_patch16_224	83.386	16.614	96.488	3.512	87.3M	224	0.900	bicubic
deit_base_distilled_patch16_384	85.426	14.574	97.332	2.668	87.6M	384	1.000	bicubic
pvt_tiny	75.096	24.904	92.420	7.580	13.2M	224	0.875	bicubic
pvt_small	79.762	20.238	94.942	5.058	24.5M	224	0.875	bicubic
pvt_medium	81.196	18.804	95.642	4.358	44.2M	224	0.875	bicubic
pvt_large	81.694	18.306	95.852	4.148	61.4M	224	0.875	bicubic
swin_tiny_patch4_window7_224	81.378	18.622	95.540	4.460	28.3M	224	0.900	bicubic
swin_small_patch4_window7_224	83.226	16.774	96.320	3.680	49.6M	224	0.900	bicubic
swin_base_patch4_window7_224	83.602	16.398	96.448	3.552	87.8M	224	0.900	bicubic
swin_base_patch4_window12_384	84.486	15.514	96.892	3.108	87.9M	384	1.000	bicubic
swin_base_patch4_window7_224_in22k_to_1k	85.274	14.726	97.568	2.432	87.8M	224	0.900	bicubic
swin_base_patch4_window12_384_in22k_to_1k	86.434	13.566	98.078	1.922	87.9M	384	1.000	bicubic
swin_large_patch4_window7_224_in22k_to_1k	86.318	13.682	97.898	2.102	196.5M	224	0.900	bicubic
swin_large_patch4_window12_384_in22k_to_1k	87.134	12.866	98.232	1.768	196.7M	384	1.000	bicubic
cswin_tiny_224	82.812	17.188	96.300	3.700	22.3M	224	0.900	bicubic
cswin_small_224	83.596	16.404	96.584	3.416	34.6M	224	0.900	bicubic
cswin_base_224	84.228	15.772	96.912	3.088	77.4M	224	0.900	bicubic
cswin_base_384	85.510	14.490	97.484	2.516	77.4M	384	1.000	bicubic
cswin_large_224	86.522	13.478	97.992	2.008	173.3M	224	0.900	bicubic
cswin_large_384	87.486	12.514	98.346	1.654	173.3M	384	1.000	bicubic
crossformer_tiny_patch4_group7_224	81.542	18.458	95.582	4.418	27.8M	224	0.900	bicubic
crossformer_small_patch4_group7_224	82.472	17.528	96.086	3.914	30.7M	224	0.900	bicubic
crossformer_base_patch4_group7_224	83.520	16.480	96.540	3.460	52.0M	224	0.900	bicubic
crossformer_large_patch4_group7_224	83.888	16.112	96.558	3.442	92.0M	224	0.900	bicubic
mlp_mixer_b16_224	76.598	23.402	92.228	7.772	59.9M	224	0.875	bicubic
mlp_mixer_l16_224	72.060	27.940	87.668	12.332	208.2M	224	0.875	bicubic
mlp_mixer_b16_224_miil	82.308	17.692	95.720	4.280	59.9M	224	0.875	bilinear
gmlp_s16_224	79.644	20.356	94.626	5.374	19.4M	224	0.875	bicubic
resmlp_12_224	76.650	23.350	93.182	6.818	15.4M	224	0.875	bicubic
resmlp_12_distilled_224	77.954	22.046	93.560	6.440	15.4M	224	0.875	bicubic
resmlp_24_224	79.378	20.622	94.546	5.454	30.0M	224	0.875	bicubic
resmlp_24_distilled_224	80.760	19.240	95.220	4.780	30.0M	224	0.875	bicubic
resmlp_36_224	79.772	20.228	94.886	5.114	44.7M	224	0.875	bicubic
resmlp_36_distilled_224	81.150	18.850	95.478	4.522	44.7M	224	0.875	bicubic
resmlp_big_24_224	81.038	18.962	95.020	4.980	129.1M	224	0.875	bicubic
resmlp_big_24_224_in22k_to_1k	84.396	15.604	97.112	2.888	129.1M	224	0.875	bicubic
resmlp_big_24_distilled_224	83.590	16.410	96.650	3.350	129.1M	224	0.875	bicubic
convmixer_768_32_relu	80.076	19.924	94.992	5.008	21.1M	224	0.875	bilinear
convmixer_1024_20	77.012	22.988	93.384	6.616	24.4M	224	0.875	bilinear
convmixer_1536_20	81.056	18.944	95.620	4.380	51.6M	224	0.875	bilinear
convnext_tiny_224	82.066	17.934	95.856	4.144	28.6M	224	0.875	bicubic
convnext_small_224	83.146	16.854	96.432	3.568	50.2M	224	0.875	bicubic
convnext_base_224	83.828	16.172	96.746	3.254	88.6M	224	0.875	bicubic
convnext_base_384	84.896	15.104	97.272	2.728	88.6M	384	1.000	bicubic
convnext_large_224	84.292	15.708	96.894	3.106	197.8M	224	1.000	bicubic
convnext_large_384	84.162	15.838	96.968	3.032	197.8M	384	1.000	bicubic
convnext_base_224_22k_to_1k	85.820	14.180	97.868	2.132	88.6M	224	0.875	bicubic
convnext_base_384_22k_to_1k	86.558	13.442	98.194	1.806	88.6M	384	1.000	bicubic
convnext_large_224_22k_to_1k	86.636	13.364	98.032	1.968	197.8M	224	0.875	bicubic
convnext_large_384_22k_to_1k	87.390	12.610	98.364	1.636	197.8M	384	1.000	bicubic
convnext_xlarge_224_22k_to_1k	87.006	12.994	98.204	1.796	350.2M	224	0.875	bicubic
convnext_xlarge_384_22k_to_1k	87.548	12.452	98.486	1.514	350.2M	384	1.000	bicubic
convnext_iso_small_224	79.742	20.258	94.798	5.208	22.3M	224	0.875	bicubic
convnext_iso_base_224	81.818	18.182	95.674	4.326	87.1M	224	0.875	bicubic
convnext_iso_large_224	82.576	17.424	95.956	4.044	306.0M	224	0.875	bicubic
poolformer_s12	77.184	22.816	93.476	6.524	12.0M	224	0.950	bicubic
poolformer_s24	80.362	19.638	95.116	4.884	21.0M	224	0.950	bicubic
poolformer_s36	81.356	18.644	95.422	4.578	31.0M	224	0.950	bicubic
poolformer_m36	82.110	17.890	95.690	4.310	56.0M	224	0.950	bicubic
poolformer_m48	82.456	17.544	95.962	4.038	73.0M	224	0.950	bicubic
uniformer_small	82.958	17.042	96.290	3.710	22.0M	224	0.900	bicubic
uniformer_small_plus	82.938	17.062	96.406	3.594	50.0M	224	0.900	bicubic
uniformer_base	83.814	16.186	96.738	3.262	50.0M	224	0.900	bicubic
uniformer_base_ls	83.952	16.048	96.728	3.272	50.0M	224	0.900	bicubic
levit-128s	76.518	23.482	92.904	7.096	7.8M	224	0.875	bicubic
levit-128	78.586	21.414	93.944	6.056	9.2M	224	0.875	bicubic
levit-192	79.874	20.126	94.750	5.250	10.9M	224	0.875	bicubic
levit-256	81.594	18.406	95.456	4.544	18.9M	224	0.875	bicubic
levit-384	82.594	17.406	95.956	4.044	39.1M	224	0.875	bicubic
regionvit_tiny_224	80.100	19.900	95.174	4.826	13.8M	224	0.875	bicubic
regionvit_small_224	82.558	17.442	96.112	3.888	30.6M	224	0.875	bicubic
regionvit_medium_224	83.002	16.998	96.220	3.780	41.2M	224	0.875	bicubic
regionvit_base_224	83.116	16.884	96.096	3.904	72.7M	224	0.875	bicubic
van_tiny	75.408	24.592	93.030	6.970	4.1M	224	0.9	bicubic
van_small	81.012	18.988	95.626	4.374	13.9M	224	0.9	bicubic
van_base	82.806	17.194	96.206	3.794	26.6M	224	0.9	bicubic
van_large	83.860	16.140	96.728	3.272	44.8M	224	0.9	bicubic
deit_small_patch16_LS_224	81.306	18.694	95.356	4.644	22.1M	224	0.875	bicubic
deit_small_patch16_LS_384	83.274	16.726	96.574	3.426	22.2M	384	0.875	bicubic
deit_small_patch16_LS_224_in21k	82.764	17.236	96.700	3.300	22.1M	224	0.875	bicubic
deit_small_patch16_LS_384_in21k	84.458	15.542	97.240	2.760	22.2M	384	0.875	bicubic
deit_base_patch16_LS_224	83.686	16.314	96.542	3.458	86.6M	224	0.875	bicubic
deit_base_patch16_LS_384	84.740	15.260	97.108	2.892	86.9M	384	0.875	bicubic
deit_base_patch16_LS_224_in21k	85.482	14.518	97.568	2.432	86.6M	224	0.875	bicubic
deit_base_patch16_LS_384_in21k	86.354	13.646	97.946	2.054	86.9M	384	0.875	bicubic
deit_large_patch16_LS_224	84.628	15.372	96.946	3.054	304.4M	224	0.875	bicubic
deit_large_patch16_LS_384	85.602	14.398	97.510	2.490	304.8M	384	0.875	bicubic
deit_large_patch16_LS_224_in21k	86.812	13.188	98.122	1.878	304.4M	224	0.875	bicubic
deit_large_patch16_LS_384_in21k	87.440	12.560	98.346	1.654	304.8M	384	0.875	bicubic
deit_huge_patch14_LS_224	85.158	14.842	97.248	2.752	632.1M	224	0.875	bicubic
deit_huge_patch14_LS_224_in21k	86.890	13.110	98.140	1.860	632.1M	224	0.875	bicubic
cait_XS24_384	84.060	15.940	96.886	3.114	26.7M	384	1	bicubic
cait_S24_224	83.452	16.548	96.572	3.428	46.9M	224	1	bicubic
cait_S24_384	85.048	14.952	97.344	2.656	47.1M	384	1	bicubic
cait_S36_384	86.058	14.546	97.480	2.520	68.4M	384	1	bicubic
cait_M36_384	84.060	13.942	97.732	2.268	271.2M	384	1	bicubic
cait_M48_448	86.492	13.508	97.752	2.248	356.5M	384	1	bicubic
dla34	74.470	25.530	92.010	7.990	15.8M	224	0.875	bicubic
dla46_c	64.482	35.518	86.088	13.912	1.3M	224	0.875	bicubic
dla46x_c	65.642	34.358	86.658	13.342	1.1M	224	0.875	bicubic
dla60x_c	67.546	32.454	88.202	11.798	1.3M	224	0.875	bicubic
dla60	76.824	23.176	93.176	6.824	22.3M	224	0.875	bicubic
dla60x	78.074	21.926	93.948	6.052	17.6M	224	0.875	bicubic
dla102	77.706	22.294	93.776	6.224	33.7M	224	0.875	bicubic
dla102x	78.272	21.728	94.102	5.898	26.8M	224	0.875	bicubic
dla102x2	79.362	20.638	94.634	5.366	41.7M	224	0.875	bicubic
dla169	78.528	21.472	94.276	5.724	54.0M	224	0.875	bicubic
genet_small	75.342	24.658	92.238	7.762	8.2M	192	0.875	bicubic
genet_normal	79.616	20.384	94.512	5.488	21.1M	192	0.875	bicubic
genet_large	81.300	18.700	95.386	4.614	31.1M	256	0.875	bicubic
hrnet_w18_small	72.078	27.922	90.470	9.530	13.2M	224	0.875	bicubic
hrnet_w18_small_v2	74.816	25.184	92.264	7.736	15.6M	224	0.875	bicubic
hrnet_w18	76.484	23.516	93.322	6.678	21.3M	224	0.875	bicubic
hrnet_w30	78.074	21.926	94.136	5.864	37.7M	224	0.875	bicubic
hrnet_w32	78.188	21.812	94.034	5.966	41.2M	224	0.875	bicubic
hrnet_w40	78.652	21.348	94.378	5.622	57.6M	224	0.875	bicubic
hrnet_w44	78.646	21.354	94.250	5.750	67.1M	224	0.875	bicubic
hrnet_w48	78.972	21.028	94.344	5.656	77.5M	224	0.875	bicubic
hrnet_w64	79.210	20.790	94.558	5.442	128.1M	224	0.875	bicubic
fan_tiny_12_p16_224	79.098	20.902	94.594	5.406	7.3M	224	0.875	bicubic
fan_small_12_p16_224	82.454	17.546	96.220	3.780	28.3M	224	0.875	bicubic
fan_base_18_p16_224	83.466	16.534	96.516	3.484	54.4M	224	0.875	bicubic
fan_tiny_8_p4_hybrid	80.064	19.936	95.042	4.958	7.5M	224	0.875	bicubic
fan_small_12_p4_hybrid	83.504	16.496	96.564	3.436	26.1M	224	0.875	bicubic
fan_base_16_p4_hybrid	83.828	16.172	96.686	3.314	50.5M	224	0.875	bicubic
fan_base_16_p4_hybrid_in22k_1k	85.474	14.526	97.524	2.476	50.5M	224	0.875	bicubic
fan_base_16_p4_hybrid_in22k_1k_384	85.952	14.048	97.790	2.210	50.5M	384	0.875	bicubic
fan_large_16_p4_hybrid_in22k_1k	86.390	13.610	97.942	2.058	76.9M	224	0.875	bicubic
fan_large_16_p4_hybrid_in22k_1k_384	86.718	13.282	98.040	1.960	76.9M	384	0.875	bicubic

Spetial Normalized Case

• vit, mlp-mixer, gmlp based model: test images normalized using mean=(0.5, 0.5, 0.5) and std=(0.5, 0.5, 0.5)
• vit_base_patch16_224_miil: test images normalized using mean=(0, 0, 0) and std=(1, 1, 1)