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Sample stimuli

How to use

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

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	mobilenet_v2_0.75_192-tf	.991
2	yudixie_resnet50_translation_rotation_0_240908	.988
3	alexnet_training_seed_09	.989
4	convnext_base:clip_laiona_augreg_ft_in1k_384	.989
5	alexnet_training_seed_02	.987
6	yudixie_resnet50_rotation_reg_0_240908	.987
7	yudixie_resnet18_translation_reg_0_240719	.987
8	resnet-50x2_untrained	.984
9	resnet-18-LC_d_w_sh_1x1_conv_init_m	.981
10	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.980
11	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.978
12	yudixie_resnet18_object_class_0_240719	.978
13	blt_vs	.977
14	cvt_cvt-21-384-in1k_4_LucyV4	.978
15	convnext_base_fb_in22k_ft_in1k	.976
16	resnet-18-LC_w_sh_10_iter_conv_init_m	.976
17	yudixie_resnet18_distance_reg_0_240719	.976
18	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.976
19	efficientnet_b1_imagenet_full	.973
20	yudixie_resnet18_distance_translation_0_240719	.973
21	efficientnet-b7	.972
22	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.972
23	yudixie_resnet18_rotation_reg_0_240719	.971
24	vit_base_patch14_dinov2-lvd142m	.969
25	omnivore_swinS	.969
26	yudixie_wbh_object_class_scaling_0415_run_2	.969
27	yudixie_resnet50_distance_rotation_0_240908	.968
28	resnet50_simsiam_linhead	.968
29	resnet50_primary_visual_cortex	.968
30	yudixie_resnet50_category_class_0_240908	.966
31	yudixie_resnet18_category_class_0_240719	.965
32	BiT-M-R101x1	.966
33	AdvProp_efficientnet-b8	.965
34	grcnn_109	.964
35	ReAlnet01_cornet_fov12	.964
36	focalnet_tiny_lrf_in1k	.964
37	compact_resnet50_V4	.963
38	omnivore_swinB	.963
39	yudixie_resnet50_distance_translation_rotation_0_240908	.962
40	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.962
41	yudixie_wbh_object_class_scaling_0415_run_3	.962
42	ReAlnet01_cornet_fov16	.961
43	alexnet_training_seed_04	.960
44	yudixie_resnet50_distance_translation_0_240908	.959
45	vonegrcnn_47e	.958
46	resnet-18_untrained	.958
47	resnet-50_untrained	.957
48	yudixie_resnet18_distance_rotation_0_240719	.954
49	compact_cornets_IT	.953
50	alexnet_training_seed_01_fov12	.951
51	yudixie_resnet50_translation_reg_0_240908	.952
52	r3m_resnet34_nocrop	.950
53	alexnet_training_seed_01_fov16	.949
54	mobilenet_v2_1-4_224_pytorch	.949
55	convnext_xlarge:fb_in22k_ft_in1k	.948
56	resnet-152_v2-tf	.948
57	ReAlnet01_cornet_fov4	.946
58	alexnet_fov4	.946
59	ReAlnet08_cornet	.945
60	ReAlnet08	.944
61	convnext_large:fb_in22k_ft_in1k	.944
62	vonegrcnn_52e_full	.943
63	yudixie_resnet50_distance_reg_0_240908	.942
64	mobilenet_v2_1.3_224-tf	.942
65	compact_resnet50_robust_IT	.941
66	0.5x_resnet-18_LC_w_sh_10_iter	.941
67	alexnet	.941
68	BiT-M-R50x3	.939
69	compact_resnet50_robust_V4	.939
70	deit_small_imagenet_100_seed-0	.939
71	alexnet_training_seed_07	.937
72	ReAlnet03_cornet	.936
73	resnet50-vicregl0p75	.935
74	vonegrcnn_47e	.934
75	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.935
76	inception_v3	.935
77	resnet50_byol	.934
78	resnet-18-LC_w_sh_1_iter_conv_init_m	.934
79	ReAlnet03	.934
80	yudixie_resnet50_random_0_240908	.933
81	CORnet-S	.933
82	ReAlnet04	.934
83	ReAlnet04_cornet	.933
84	convnext_large_clip_laion2b_finelayers	.932
85	convnext_femto_ols:d1_in1k	.933
86	alexnet_random_linf8_perturb	.932
87	dinov2_vitl14_lc_res336	.932
88	yudixie_resnet18_translation_rotation_0_240719	.931
89	ReAlnet01_cornet	.930
90	vit_base_patch14_reg4_dinov2-lvd142m	.930
91	ReAlnet01	.930
92	BiT-M-R50x1	.930
93	xception	.929
94	alexnet_training_seed_01	.928
95	ReAlnet04_ALL	.927
96	mobilenet_v2_1.4_224-tf	.927
97	ReAlnet06_cornet	.926
98	mobilenet_v2_1.0_96	.926
99	resnext101_32x48d_wsl	.926
100	0.5x_resnet-18_LC_w_sh_100_iter	.926
101	ReAlnet06	.926
102	ReAlnet09	.926
103	ReAlnet09_cornet	.924
104	resnet50_barlowtwins_linhead	.925
105	AlexNet_SIN	.924
106	yudixie_resnet18_distance_translation_rotation_0_240719	.924
107	alexnet_early_checkpoint	.924
108	inception_v1	.924
109	ReAlnet08_ALL	.924
110	briaai_rmbg_1_4	.923
111	ReAlnet03_ALL	.923
112	yudixie_wbh_object_class_scaling_0415_run_1	.923
113	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.922
114	ReAlnet07_ALL	.922
115	ReAlnet07_cornet	.921
116	ReAlnet07	.921
117	0.5x_resnet-18	.920
118	vgg_19	.918
119	ReAlnet10_ALL	.919
120	ReAlnet02_ALL	.919
121	ReAlnet01_ALL	.919
122	cvt_cvt-13-224-in1k_4_LucyV4	.920
123	yudixie_resnet50_object_class_0_240908	.918
124	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.919
125	resnet-50_v1-tf	.919
126	BiT-S-R101x1	.919
127	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.919
128	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.918
129	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.919
130	grcnn_v2_text_noise	.918
131	ReAlnet06_ALL	.918
132	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.918
133	ReAlnet09_ALL	.918
134	ReAlnet10_cornet	.917
135	grcnn	.916
136	ReAlnet05_cornet	.916
137	ReAlnet05	.916
138	ReAlnet05_ALL	.915
139	resnet-18-LC_1st_conv_m	.915
140	convnext_tiny_sup	.915
141	ReAlnet10	.915
142	resnext101_32x16d_wsl	.914
143	resnet_SIN_IN_FT_IN	.913
144	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.911
145	convnext_tiny:in12k_ft_in1k	.911
146	deepeisnn_ei_cifar10_resnet18	.910
147	ReAlnet02_cornet	.910
148	ReAlnet02	.909
149	convnext_large_in22k_supervised	.910
150	resnet-18-LC_m	.909
151	compact_cornets_V4	.908
152	resnet50-sup	.908
153	yudixie_resnet50_imagenet1kpret_0_240908	.908
154	resnet50_tutorial	.908
155	alexnet_fov12	.908
156	dinov2_vitg14_reg_lc	.908
157	resnet_50_v1	.908
158	resnet_50_v1_spiking_l4a	.907
159	resnet_50_v1_spiking	.908
160	resnet50	.907
161	resnet_50_v1_spiking_l3	.907
162	mobilenet_v2_1.0_160-tf	.907
163	resnet_50_v1_spiking_l4	.905
164	alexnet_robust_correct	.906
165	mobilenet_v2_1.0_128-tf	.904
166	BiT-S-R152x2	.902
167	resnet-18-LC_w_sh_100_iter_conv_init_m	.901
168	resnet50_vicreg_linhead	.900
169	cvt_cvt-21-224-in1k_4_LucyV4	.900
170	mobilenet_v2_0.5_192-tf	.900
171	alexnet_fov16	.899
172	resnet18_ecoset_full	.897
173	deit_large_imagenet_full_seed-0	.898
174	texture_shape_alexnet_trained_on_SIN	.897
175	alexnet_training_seed_10	.896
176	SWSL_resnext101_32x8d	.896
177	vgg-16-keras	.895
178	alexnet_random_l2_3_perturb	.893
179	convnext_small_imagenet_full_seed-0	.894
180	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.894
181	resnet50_byol_linhead	.892
182	densenet-201-keras	.892
183	AlexNet_SIN_fov12	.892
184	mobilenet_v2_1_4_224	.891
185	resnet50-SIN_IN_IN	.891
186	SWSL_resnet50	.891
187	yudixie_resnet18_imagenet1kpret_0_240719	.889
188	deepeisnn_ei_imagenet_resnet18	.888
189	yudixie_wbh_object_class_scaling_0415_imagenet	.889
190	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.889
191	resnet-50-robust	.888
192	vgg-19-keras	.889
193	convnext_small_imagenet_10_seed-0	.886
194	AlexNet_SIN_fov4	.885
195	BiT-S-R152x4	.884
196	konkle_alexnetgn_ipcl_ref01_primary_model	.884
197	RN50	.883
198	CLIP-RN50	.882
199	resnet50_simclr_linhead_01norm	.881
200	compact_resnet50_IT	.879
201	resnet-18-LC_w_sh_10_iter_m	.880
202	AdvProp_efficientnet-b6	.878
203	cvt_cvt-13-384-in1k_4_LucyV4	.878
204	voneresnet-50-non_stochastic	.878
205	convnext_small_imagenet_100_seed-0	.875
206	alexnet_training_seed_03	.874
207	my-model	.874
208	resnet50_random_l2_perturb	.873
209	yudixie_wbh_object_class_scaling_0415_run_0	.872
210	ijepa_vith14_linhead	.872
211	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.870
212	AdvProp_efficientnet-b7	.870
213	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.870
214	BiT-M-R152x4	.870
215	cornet_s	.869
216	vgg_16	.869
217	compact_vgg19_V4	.867
218	ViT_L_32_imagenet1k	.864
219	BiT-S-R101x3	.865
220	resnet50_robust_l2_eps3	.865
221	resnet50_imagenet_full	.865
222	resnet-152_v1-tf	.865
223	AlexNet_SIN_fov16	.863
224	alexnet_l2_3_robust	.862
225	dinov2_vitg14_lc	.863
226	densenet-201	.862
227	mobilenet_v2_1_0_128	.861
228	mobilenet_v2_1_0_224	.861
229	grcnn_robust_v1	.861
230	r3m_resnet34	.860
231	CLIP_resnet50	.860
232	resnet50-SIN	.859
233	resnet50-barlow	.859
234	CLIP_resnet50_float32	.858
235	mehrer2020_alexnet_training_seed_01_fov12	.859
236	resnet-152_v2_pytorch	.856
237	inception_v3-tf	.856
238	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.855
239	convnext_large_imagenet_full_seed-0	.855
240	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.855
241	resnet-50_v2-tf	.855
242	resnet50_hvs_wzc	.853
243	resnet50-VITO-8deg-cc	.854
244	texture_shape_resnet50_trained_on_SIN	.852
245	resnet-18-LC_w_sh_1_iter_m	.852
246	eicircuit_resnet18_bn_20260919	.852
247	BiT-S-R50x3	.850
248	r3m_resnet18	.850
249	convnext_base_imagenet_full_seed-0	.850
250	resnet18_fair	.849
251	resnet50_imagenet_100_seed-0	.849
252	resnet50-vicreg	.848
253	resnet101	.849
254	resnet-18-LC_w_sh_100_iter_m	.848
255	mehrer2020_alexnet_training_seed_04	.846
256	vision_transformer_vit_large_patch16_224	.845
257	vonealexnet_gaussian_noise_std4_fixed	.845
258	mobilenet_v2_1.0_192-tf	.844
259	BiT-S-R50x1	.842
260	BiT-M-R101x3	.842
261	resnet34_ecoset_full	.840
262	convnext_base_fb_in1k	.842
263	deepeisnn_ei_cifar10_vgg19	.840
264	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.840
265	resnet50_linf_8_robust	.839
266	0.5x_resnet-18_LC	.839
267	regnety_032	.836
268	resnet50_robust_l2_eps1	.836
269	antialiased-r50	.836
270	yudixie_resnet18_random_0_240719	.835
271	efficientnet_b2_imagenet_full	.835
272	convnext_tiny_imagenet_full_seed-0	.834
273	shufflenet_v2_x1_0	.833
274	mobilenet_v2_0.75_160-tf	.833
275	resnet-18_test_m	.833
276	gabor_filter_mean_abs_4x4_v2	.833
277	vggface	.831
278	nasnet_mobile	.831
279	inception_v4-tf	.831
280	mobilenet_v2_1.0_224-tf	.830
281	vit_base_patch16_clip_224:openai_ft_in1k	.830
282	resnet18_imagenet_full	.828
283	resnet50_moco_v2	.826
284	BiT-M-R152x2	.826
285	resnet50_random_linf8_perturb	.825
286	mobilenet_v2_0_75_224	.825
287	resnet50_st_wzc_2	.825
288	resnet50_ewconplus_wzc_seed2_2__323	.824
289	resnet50_ewconplus_wzc_seed5_2__323	.823
290	AdvProp_efficientnet-b4	.822
291	nasnet_mobile-tf	.821
292	nasnet_large-tf	.820
293	convnext_small_imagenet_1_seed-0	.821
294	resnet50-vicregl0p9	.820
295	mehrer2020_alexnet_training_seed_08	.820
296	dinov2_vitl14_reg_lc	.818
297	dinov2_vitl14_reg_lc_featread	.818
298	VOneCORnet-S	.816
299	alexnet_training_seed_01_fov4	.816
300	voneresnet-50	.813
301	Res2Net50_26w_4s	.815
302	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.814
303	dinov2_vitl14_lc	.813
304	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.813
305	vit_base_patch16_dinov3-lvd1689m	.813
306	mehrer2020_alexnet_training_seed_03	.813
307	mobilenet_v2_0.5_224-tf	.812
308	resnet_101_v1	.812
309	resnet50_linf_4_robust	.811
310	resnext101_32x8d_wsl	.810
311	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.810
312	pnasnet_large-tf	.809
313	voneresnet-50-robust	.808
314	artResNet18_1	.809
315	deit_small_imagenet_full_seed-0	.808
316	resnet50-moclr8deg	.808
317	mobilenet_v2_0.75_96	.808
318	antialias-resnet152	.806
319	CORnet-Z	.806
320	effnetv2m_custom384	.805
321	antialiased-rnext101_32x8d	.803
322	imagenet_l2_10_0	.802
323	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.802
324	resnet50-simclr-vissl	.802
325	resnet50_imagenet_10_seed-0	.800
326	resnet18_imagenet21kP	.801
327	0.5x_resnet-18_LC_w_sh_1_iter	.801
328	imagenet_l2_3_0	.799
329	pnasnet_large_halfPrecision	.797
330	r3m_resnet50	.797
331	vit_large_patch14_clip_224:laion2b_ft_in1k	.795
332	vit_large_patch14_clip_336:laion2b_ft_in1k	.796
333	resnet50_l2_3_robust	.794
334	resnet152_ecoset_full	.792
335	cv_18_dagger_408_pretrained	.792
336	r3m_resnet50_nocrop	.791
337	resnet34_imagenet_full	.791
338	custom_model_cv_18_dagger_408	.789
339	resnet50_ewconplus_wzc	.789
340	mobilenet_v2_0_75_192	.789
341	resnext101_32x32d_wsl	.788
342	resnet50_FractalDB	.787
343	resnet-101_v1-tf	.785
344	resnet-101_v2-tf	.783
345	resnet50_st_wzc_seed6_2_323	.780
346	seresnext50_32x4d	.778
347	mobilenet_v2_1_3_224	.775
348	alexnet_linf_8_robust	.775
349	barlow-twins-resnet50	.774
350	deit3_base_patch16_224_fb_in22k_ft_in1k	.775
351	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.774
352	FrankRobWobv0	.774
353	resnet152_imagenet_full	.773
354	resnet50_st_wzc_seed7_2_323	.772
355	alexnet_training_seed_08	.772
356	resnet50_simclr	.770
357	resnet50-vitoimagevidnet8	.769
358	inception_v2-tf	.768
359	resnet101_ecoset_full	.764
360	densenet-121	.762
361	eBarlow_lmda_02_1000ep	.760
362	densenet-169	.760
363	AdvProp_efficientnet-b0	.758
364	vonegrcnn_62e_nobn	.757
365	resnet_50_v2	.755
366	compact_vgg19_IT	.751
367	mobilenet_v2_0_75_160	.751
368	resnet50_ecoset_full	.750
369	vit_large_clip336_openai	.747
370	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.745
371	eva02_large_in22k	.747
372	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.746
373	convnext_base_fb_in1k_gram_aligned_dinov3	.743
374	mobilenet_v2_0.35_224	.742
375	resnet50_st_wzc_seed3_2_323	.739
376	alexnet_reduced_aliasing_early_checkpoint	.738
377	resnet50_ewconplus_wzc_seed6_2_323	.737
378	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.736
379	deit_base_imagenet_full_seed-0	.735
380	mobilenet_v2_0_5_192	.734
381	resnet101_imagenet_full	.730
382	effnetb1_272x240	.727
383	resnet50-cifar	.722
384	omnivore_swinT	.721
385	vit_large_patch14_clip_224:openai_ft_in1k	.720
386	densenet-121-keras	.720
387	resnet50-SIN_IN	.719
388	densenet-169-keras	.715
389	resnet_101_v2	.714
390	CLIP_ViT-B_32	.713
391	mobilenet_v2_1_0_160	.712
392	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.710
393	inception_v1-tf	.708
394	CORnetZ_CIFAR10	.703
395	mobilenet_v2_1_0_192	.700
396	gabor_filter_entropy_4x4_v2_forcedCosine	.696
397	mobilenet_v2_0.5_160	.694
398	efficientnet_b0_imagenet_full	.693
399	inception_resnet_v2	.683
400	vit_relpos_base_patch16_clsgap_224:sw_in1k	.680
401	resnet-18-LC_conv_init_m	.676
402	yolos_tiny	.668
403	mobilenet_v2_0_5_224	.663
404	resnet50_pretrained_with_retinal_waves	.661
405	AdvProp_efficientnet-b2	.635
406	AT_efficientnet-b2	.633
407	my-model	.629
408	efficientnet_b0	.604
409	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.603
410	deit3_base_patch16_224_fb_in1k	.602
411	alexnet_training_seed_06	.563
412	CORnetZ_CIFAR10_bs32_20_04	.547
413	alexnet_training_seed_05	.546
414	ViT-B/32	.532
415	mobilenet_v2_0.75_128	.521
416	resnet50_imagenet_1_seed-0	.492
417	resnet-18-LC_untrained	.487
418	mobilenet_v2_0.75_224-tf	.437
419	v1-pyr-nodown	.419
420	hmax	.405
421	mobilenet_v2_0.5_128	.398
422	mobilenet_v1_0.25_128	.349
423	deit_small_imagenet_10_seed-0	.320
424	gabor_filter_entropy_4x4	.177
425	gabor_filter_entropy_4x4_v2	.177
426	mobilenet_v2_0.35_160
427	resnet18-supervised
428	fitvid_trained_on_physion
429	openclip
430	resnet50_ImageNet
431	regnet_y_400mf
432	tv_efficientnet-b1
433	alexnet_ks_torevert
434	yudixie_resnet50_imagenet1kpret_0_240312
435	resnet_152_v1
436	densenet_201_pytorch
437	pnasnet_large_pytorch
438	inception_v3_pytorch
439	mobilevit_small
440	inception_v4
441	nasnet_large
442	deit_small_imagenet_1_seed-0
443	pnasnet_large
444	vonegrcnn_62e_nobn
445	vonegrcnn_52e_full
446	resnet_152_v2
447	mehrer2020_alexnet_training_seed_01
448	mehrer2020_alexnet_training_seed_01_fov4
449	mehrer2020_alexnet_training_seed_02
450	mehrer2020_alexnet_training_seed_01_fov16
451	mehrer2020_alexnet_training_seed_05
452	mehrer2020_alexnet_training_seed_06
453	mehrer2020_alexnet_training_seed_07
454	mehrer2020_alexnet_training_seed_09
455	mehrer2020_alexnet_training_seed_10
456	pr1_stl10_disentangled_alpha04
457	predictive_coding_pc
458	convnext_xxlarge_clip
459	vit_huge_clip336_laion

Benchmark bibtex

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: Marques2020_Ringach2002

Metric: opr_cv_diff