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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Marques2020_Ringach2002-max_dc")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet-18-LC_1st_conv_m	.998
2	resnet50_imagenet_1_seed-0	.997
3	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.996
4	convnext_large_clip_laion2b_finelayers	.995
5	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.995
6	convnext_large_in22k_supervised	.995
7	BiT-M-R50x3	.993
8	VOneCORnet-S	.993
9	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.992
10	resnet-101_v2-tf	.992
11	yudixie_resnet50_distance_rotation_0_240908	.993
12	convnext_large:fb_in22k_ft_in1k	.992
13	vit_base_patch14_reg4_dinov2-lvd142m	.992
14	resnet50_linf_4_robust	.992
15	dinov2_vitl14_lc	.992
16	resnet34_imagenet_full	.990
17	resnet50_byol	.990
18	vit_base_patch14_dinov2-lvd142m	.991
19	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.990
20	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.990
21	resnet50_moco_v2	.990
22	yudixie_resnet50_object_class_0_240908	.989
23	briaai_rmbg_1_4	.989
24	resnet18_imagenet_full	.989
25	yudixie_resnet50_distance_translation_0_240908	.989
26	resnet-152_v2-tf	.989
27	antialiased-rnext101_32x8d	.988
28	vit_relpos_base_patch16_clsgap_224:sw_in1k	.987
29	resnet-18-LC_w_sh_10_iter_conv_init_m	.987
30	nasnet_mobile-tf	.988
31	texture_shape_alexnet_trained_on_SIN	.988
32	vision_transformer_vit_large_patch16_224	.988
33	nasnet_large-tf	.987
34	resnet-18-LC_d_w_sh_1x1_conv_init_m	.987
35	AT_efficientnet-b2	.987
36	voneresnet-50-robust	.987
37	mobilevit_small	.986
38	resnet-50-robust	.986
39	vgg_19	.986
40	resnet50-vitoimagevidnet8	.987
41	resnet50_robust_l2_eps1	.986
42	yudixie_resnet18_object_class_0_240719	.987
43	resnet-18-LC_w_sh_1_iter_conv_init_m	.986
44	resnet50_random_linf8_perturb	.986
45	resnet50_l2_3_robust	.986
46	AdvProp_efficientnet-b2	.985
47	vit_large_patch14_clip_224:openai_ft_in1k	.985
48	resnet50_random_l2_perturb	.985
49	yudixie_resnet50_distance_translation_rotation_0_240908	.985
50	yudixie_resnet50_translation_reg_0_240908	.984
51	yudixie_resnet50_random_0_240908	.983
52	voneresnet-50	.984
53	antialiased-r50	.983
54	resnet50-simclr-vissl	.982
55	resnet50_FractalDB	.984
56	alexnet_training_seed_01_fov16	.982
57	resnet50-moclr8deg	.982
58	cv_18_dagger_408_pretrained	.983
59	r3m_resnet34	.982
60	BiT-S-R50x3	.982
61	alexnet_training_seed_01_fov12	.981
62	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.981
63	densenet-121-keras	.980
64	resnet101_ecoset_full	.980
65	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.981
66	xception	.980
67	omnivore_swinT	.980
68	resnet152_imagenet_full	.979
69	grcnn_v2_text_noise	.979
70	SWSL_resnet50	.979
71	alexnet_training_seed_09	.979
72	yudixie_resnet50_translation_rotation_0_240908	.979
73	yudixie_resnet18_distance_rotation_0_240719	.978
74	resnet50_primary_visual_cortex	.978
75	resnet-50_untrained	.978
76	alexnet_training_seed_04	.977
77	resnet50-vicregl0p9	.977
78	yudixie_resnet18_rotation_reg_0_240719	.976
79	BiT-S-R50x1	.976
80	resnet-18_untrained	.977
81	resnet50-SIN_IN_IN	.976
82	yudixie_resnet50_distance_reg_0_240908	.976
83	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.976
84	resnet50_simclr	.976
85	vonegrcnn_62e_nobn	.976
86	barlow-twins-resnet50	.976
87	effnetb1_272x240	.976
88	grcnn_robust_v1	.975
89	ReAlnet01_cornet_fov4	.975
90	imagenet_l2_3_0	.975
91	convnext_large_imagenet_full_seed-0	.974
92	resnet-50_v1-tf	.975
93	densenet-121	.974
94	inception_v4-tf	.974
95	antialias-resnet152	.975
96	resnet34_ecoset_full	.974
97	vgg-16-keras	.973
98	resnet50_linf_8_robust	.974
99	yudixie_resnet18_translation_reg_0_240719	.974
100	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.974
101	alexnet_linf_8_robust	.973
102	0.5x_resnet-18_LC_w_sh_100_iter	.973
103	convnext_base:clip_laiona_augreg_ft_in1k_384	.973
104	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.972
105	resnet-18_test_m	.973
106	BiT-S-R152x2	.972
107	yudixie_wbh_object_class_scaling_0415_run_3	.973
108	pnasnet_large-tf	.973
109	pnasnet_large_halfPrecision	.972
110	yudixie_resnet18_translation_rotation_0_240719	.972
111	resnet50-vicreg	.973
112	custom_model_cv_18_dagger_408	.972
113	resnet-50x2_untrained	.971
114	resnet-18-LC_w_sh_10_iter_m	.971
115	cvt_cvt-21-224-in1k_4_LucyV4	.972
116	SWSL_resnext101_32x8d	.971
117	resnet50	.971
118	vit_large_patch14_clip_336:laion2b_ft_in1k	.970
119	resnet18_ecoset_full	.970
120	vit_huge_clip336_laion	.970
121	resnet50_st_wzc_seed6_2_323	.970
122	vgg_16	.971
123	resnet-18-LC_conv_init_m	.969
124	r3m_resnet50_nocrop	.968
125	resnet_50_v1_spiking_l4a	.968
126	convnext_femto_ols:d1_in1k	.969
127	resnet50_tutorial	.968
128	imagenet_l2_10_0	.969
129	resnet_50_v1_spiking	.968
130	yudixie_wbh_object_class_scaling_0415_run_1	.969
131	yudixie_resnet50_imagenet1kpret_0_240908	.969
132	resnet_50_v1	.969
133	resnet50-sup	.968
134	yudixie_resnet50_rotation_reg_0_240908	.969
135	resnet_50_v1_spiking_l3	.969
136	resnet_50_v1_spiking_l4	.968
137	resnet50_robust_l2_eps3	.968
138	resnet50-SIN	.968
139	deit_base_imagenet_full_seed-0	.967
140	CLIP_resnet50	.967
141	CORnetZ_CIFAR10_bs32_20_04	.968
142	texture_shape_resnet50_trained_on_SIN	.967
143	resnet-152_v1-tf	.968
144	0.5x_resnet-18_LC	.967
145	CLIP_resnet50_float32	.967
146	cvt_cvt-13-384-in1k_4_LucyV4	.967
147	vonealexnet_gaussian_noise_std4_fixed	.966
148	0.5x_resnet-18_LC_w_sh_1_iter	.965
149	inception_v2-tf	.965
150	grcnn_109	.964
151	resnet50-barlow	.963
152	vonegrcnn_47e	.963
153	resnet-18-LC_w_sh_100_iter_conv_init_m	.963
154	efficientnet_b1_imagenet_full	.963
155	nasnet_mobile	.964
156	resnet50-vicregl0p75	.962
157	alexnet_random_l2_3_perturb	.962
158	focalnet_tiny_lrf_in1k	.962
159	resnet50_ecoset_full	.961
160	convnext_base_fb_in22k_ft_in1k	.961
161	convnext_base_imagenet_full_seed-0	.961
162	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.960
163	yudixie_resnet18_random_0_240719	.960
164	AdvProp_efficientnet-b8	.960
165	yudixie_resnet18_imagenet1kpret_0_240719	.960
166	yudixie_resnet18_distance_translation_rotation_0_240719	.960
167	yudixie_wbh_object_class_scaling_0415_imagenet	.960
168	resnet18_imagenet21kP	.960
169	yudixie_resnet18_category_class_0_240719	.959
170	ReAlnet01_cornet_fov12	.958
171	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.957
172	mobilenet_v2_0.75_192-tf	.958
173	yudixie_wbh_object_class_scaling_0415_run_0	.957
174	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.957
175	AlexNet_SIN_fov4	.956
176	resnet50_imagenet_10_seed-0	.955
177	effnetv2m_custom384	.954
178	yudixie_wbh_object_class_scaling_0415_run_2	.954
179	resnet-18-LC_w_sh_100_iter_m	.954
180	eBarlow_lmda_02_1000ep	.954
181	mobilenet_v2_0_5_224	.954
182	convnext_xlarge:fb_in22k_ft_in1k	.952
183	CLIP_ViT-B_32	.953
184	RN50	.953
185	mobilenet_v1_0.25_128	.952
186	resnet_50_v2	.952
187	resnet-18-LC_untrained	.952
188	blt_vs	.952
189	0.5x_resnet-18	.951
190	densenet-201	.951
191	vonegrcnn_52e_full	.951
192	resnet50-VITO-8deg-cc	.950
193	resnet50-cifar	.950
194	inception_v3-tf	.950
195	BiT-M-R50x1	.949
196	ReAlnet01_cornet_fov16	.948
197	ReAlnet06	.948
198	ReAlnet06_cornet	.947
199	vggface	.948
200	CORnetZ_CIFAR10	.947
201	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.947
202	ReAlnet09_cornet	.948
203	convnext_small_imagenet_100_seed-0	.947
204	vit_base_patch16_clip_224:openai_ft_in1k	.947
205	ReAlnet09	.946
206	AdvProp_efficientnet-b6	.946
207	resnet18_fair	.946
208	resnet-18-LC_m	.946
209	vgg-19-keras	.944
210	CORnet-Z	.944
211	alexnet_fov4	.944
212	vonegrcnn_47e	.943
213	resnet50_st_wzc_seed3_2_323	.943
214	resnet50-SIN_IN	.943
215	resnext101_32x8d_wsl	.943
216	densenet-201-keras	.943
217	ReAlnet04_ALL	.944
218	ViT_L_32_imagenet1k	.942
219	alexnet_training_seed_02	.943
220	Res2Net50_26w_4s	.943
221	compact_resnet50_robust_V4	.942
222	dinov2_vitl14_lc_res336	.942
223	CLIP-RN50	.942
224	resnet50_st_wzc_seed7_2_323	.941
225	yudixie_resnet50_category_class_0_240908	.942
226	alexnet_training_seed_07	.942
227	r3m_resnet18	.941
228	mobilenet_v2_0_75_192	.940
229	mobilenet_v2_0.75_224-tf	.940
230	resnet-50_v2-tf	.940
231	ReAlnet09_ALL	.939
232	compact_cornets_IT	.938
233	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.939
234	mobilenet_v2_0_75_160	.938
235	densenet-169	.939
236	inception_v3	.938
237	ReAlnet10	.938
238	ReAlnet10_cornet	.937
239	ReAlnet07	.936
240	deit_large_imagenet_full_seed-0	.937
241	ReAlnet07_cornet	.937
242	ReAlnet08_ALL	.936
243	FrankRobWobv0	.936
244	alexnet_l2_3_robust	.935
245	resnet101_imagenet_full	.936
246	efficientnet_b0	.935
247	AlexNet_SIN	.935
248	yudixie_resnet18_distance_translation_0_240719	.935
249	resnet152_ecoset_full	.935
250	resnet-101_v1-tf	.935
251	resnet_SIN_IN_FT_IN	.935
252	cvt_cvt-13-224-in1k_4_LucyV4	.935
253	compact_vgg19_IT	.934
254	konkle_alexnetgn_ipcl_ref01_primary_model	.934
255	ReAlnet03	.933
256	ReAlnet03_cornet	.933
257	ReAlnet05_cornet	.933
258	convnext_tiny_sup	.933
259	convnext_base_fb_in1k_gram_aligned_dinov3	.933
260	alexnet	.933
261	AdvProp_efficientnet-b7	.933
262	ReAlnet05	.932
263	ReAlnet02_ALL	.933
264	convnext_base_fb_in1k	.932
265	r3m_resnet50	.931
266	mobilenet_v2_1.0_128-tf	.931
267	ReAlnet06_ALL	.931
268	ReAlnet01_ALL	.931
269	ReAlnet10_ALL	.930
270	mobilenet_v2_0_5_192	.929
271	BiT-S-R152x4	.929
272	resnet50_imagenet_full	.929
273	my-model	.929
274	BiT-S-R101x3	.928
275	dinov2_vitl14_reg_lc	.928
276	dinov2_vitl14_reg_lc_featread	.927
277	mobilenet_v2_0_75_224	.927
278	BiT-M-R152x4	.927
279	resnet-18-LC_w_sh_1_iter_m	.926
280	alexnet_training_seed_01	.926
281	grcnn	.925
282	alexnet_training_seed_10	.924
283	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.924
284	ReAlnet01	.924
285	convnext_tiny_imagenet_full_seed-0	.924
286	ReAlnet08	.924
287	ReAlnet01_cornet	.924
288	ReAlnet08_cornet	.923
289	ReAlnet03_ALL	.923
290	compact_resnet50_V4	.923
291	mobilenet_v2_1.4_224-tf	.923
292	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.922
293	ReAlnet04	.922
294	efficientnet_b0_imagenet_full	.921
295	resnet-152_v2_pytorch	.922
296	resnet101	.921
297	ReAlnet05_ALL	.920
298	ReAlnet04_cornet	.921
299	ReAlnet02	.919
300	alexnet_fov16	.919
301	ReAlnet02_cornet	.919
302	compact_cornets_V4	.917
303	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.917
304	alexnet_reduced_aliasing_early_checkpoint	.917
305	resnet50_pretrained_with_retinal_waves	.918
306	compact_vgg19_V4	.916
307	alexnet_robust_correct	.918
308	ReAlnet07_ALL	.915
309	mobilenet_v2_1_0_128	.916
310	mobilenet_v2_1_0_160	.915
311	inception_v1	.914
312	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.914
313	BiT-M-R101x1	.914
314	alexnet_early_checkpoint	.913
315	inception_resnet_v2	.914
316	BiT-M-R101x3	.911
317	deit_small_imagenet_100_seed-0	.911
318	cornet_s	.911
319	convnext_small_imagenet_full_seed-0	.910
320	cvt_cvt-21-384-in1k_4_LucyV4	.909
321	densenet-169-keras	.907
322	convnext_small_imagenet_10_seed-0	.901
323	AlexNet_SIN_fov16	.897
324	alexnet_training_seed_03	.897
325	resnet50_st_wzc_2	.896
326	mobilenet_v2_1.3_224-tf	.894
327	CORnet-S	.894
328	omnivore_swinS	.893
329	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.893
330	0.5x_resnet-18_LC_w_sh_10_iter	.893
331	mobilenet_v2_1_0_192	.893
332	deit3_base_patch16_224_fb_in22k_ft_in1k	.892
333	efficientnet-b7	.892
334	efficientnet_b2_imagenet_full	.891
335	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.890
336	compact_resnet50_IT	.891
337	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.890
338	mobilenet_v2_1.0_160-tf	.889
339	mobilenet_v2_1_3_224	.883
340	convnext_tiny:in12k_ft_in1k	.882
341	yudixie_resnet18_distance_reg_0_240719	.882
342	resnet50_imagenet_100_seed-0	.882
343	compact_resnet50_robust_IT	.882
344	mobilenet_v2_1.0_224-tf	.881
345	shufflenet_v2_x1_0	.877
346	alexnet_training_seed_01_fov4	.877
347	mobilenet_v2_1_4_224	.877
348	mobilenet_v2_1-4_224_pytorch	.876
349	mobilenet_v2_0.5_192-tf	.875
350	v1-pyr-nodown	.872
351	mobilenet_v2_1.0_192-tf	.872
352	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.867
353	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.868
354	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.867
355	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.867
356	alexnet_random_linf8_perturb	.867
357	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.866
358	mobilenet_v2_0.5_224-tf	.864
359	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.863
360	mobilenet_v2_0.35_224	.860
361	convnext_small_imagenet_1_seed-0	.859
362	omnivore_swinB	.854
363	BiT-S-R101x1	.848
364	vit_large_patch14_clip_224:laion2b_ft_in1k	.847
365	resnet50_ewconplus_wzc_seed2_2__323	.847
366	yolos_tiny	.845
367	BiT-M-R152x2	.843
368	mobilenet_v2_1.0_96	.838
369	resnet50_ewconplus_wzc	.827
370	alexnet_training_seed_08	.824
371	resnet50_hvs_wzc	.820
372	aughost_fair_resnet18	.820
373	voneresnet-50-non_stochastic	.819
374	alexnet_training_seed_06	.817
375	mobilenet_v2_0.75_160-tf	.811
376	mobilenet_v2_0.5_160	.810
377	artResNet18_1	.801
378	ViT-B/32	.796
379	inception_v1-tf	.795
380	mobilenet_v2_1_0_224	.794
381	resnet50_ewconplus_wzc_seed5_2__323	.792
382	AlexNet_SIN_fov12	.790
383	mobilenet_v2_0.75_96	.783
384	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.780
385	alexnet_training_seed_05	.781
386	AdvProp_efficientnet-b0	.775
387	resnet50_ewconplus_wzc_seed6_2_323	.767
388	vit_base_patch16_dinov3-lvd1689m	.756
389	alexnet_fov12	.756
390	deit3_base_patch16_224_fb_in1k	.751
391	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.751
392	mobilenet_v2_0.75_128	.730
393	hmax	.689
394	mobilenet_v2_0.5_128	.689
395	my-model	.690
396	deepeisnn_ei_cifar10_vgg19	.689
397	deepeisnn_ei_cifar10_resnet18	.690
398	deepeisnn_ei_imagenet_resnet18	.689
399	deit_small_imagenet_full_seed-0	.686
400	AdvProp_efficientnet-b4	.654
401	deit_small_imagenet_10_seed-0	.343
402	mobilenet_v2_0.35_160
403	resnet18-supervised
404	fitvid_trained_on_physion
405	openclip
406	resnext101_32x32d_wsl
407	resnext101_32x48d_wsl
408	resnet50_ImageNet
409	regnet_y_400mf
410	tv_efficientnet-b1
411	alexnet_ks_torevert
412	yudixie_resnet50_imagenet1kpret_0_240312
413	resnet_152_v1
414	resnext101_32x16d_wsl
415	densenet_201_pytorch
416	pnasnet_large_pytorch
417	inception_v3_pytorch
418	inception_v4
419	nasnet_large
420	deit_small_imagenet_1_seed-0
421	pnasnet_large
422	vonegrcnn_62e_nobn
423	resnet_101_v2
424	resnet_152_v2
425	vonegrcnn_52e_full
426	resnet_101_v1
427	pr1_stl10_disentangled_alpha04
428	predictive_coding_pc
429	dinov2_vitg14_lc
430	vit_large_clip336_openai
431	dinov2_vitg14_reg_lc
432	eva02_large_in22k
433	convnext_xxlarge_clip

Benchmark bibtex

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: Marques2020_Ringach2002

Metric: max_dc