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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Ferguson2024juncture-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet50_simclr_linhead_01norm	1.0
2	convnext_xxlarge_clip	1.0
3	alexnet_fov16	1.0
4	resnet50-vitoimagevidnet8	1.0
5	resnet50-VITO-8deg-cc	1.0
6	resnet50_ewconplus_wzc	1.0
7	resnet18_ecoset_full	1.0
8	resnet50_simsiam_linhead	1.0
9	mehrer2020_alexnet_training_seed_01_fov12	1.0
10	convnext_large_in22k_supervised	1.0
11	ReAlnet04_cornet	1.0
12	ReAlnet04	1.0
13	efficientnet_b1_imagenet_full	1.0
14	mehrer2020_alexnet_training_seed_10	.984
15	regnety_032	.984
16	dinov2_vitl14_reg_lc_featread	.984
17	resnet50-vicreg	.984
18	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.984
19	resnet34_ecoset_full	.984
20	resnet50_barlowtwins_linhead	.951
21	resnet50_st_wzc_seed3_2_323	.951
22	vonegrcnn_47e	.951
23	AdvProp_efficientnet-b6	.951
24	convnext_small_imagenet_full_seed-0	.951
25	cv_18_dagger_408_pretrained	.848
26	ReAlnet08_cornet	.848
27	ReAlnet08	.848
28	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.848
29	convnext_base:clip_laiona_augreg_ft_in1k_384	.848
30	mehrer2020_alexnet_training_seed_08	.819
31	convnext_base_fb_in1k	.819
32	resnet50_ewconplus_wzc_seed5_2__323	.819
33	ReAlnet01_cornet_fov16	.819
34	vgg_19	.819
35	yudixie_resnet50_rotation_reg_0_240908	.819
36	shufflenet_v2_x1_0	.819
37	yudixie_resnet18_distance_translation_rotation_0_240719	.819
38	ReAlnet01_cornet_fov4	.730
39	nasnet_large	.730
40	efficientnet_b0	.730
41	cvt_cvt-13-224-in1k_4_LucyV4	.730
42	resnext101_32x32d_wsl	.730
43	yudixie_wbh_object_class_scaling_0415_run_0	.706
44	ReAlnet02_ALL	.706
45	ReAlnet01_ALL	.706
46	ReAlnet10_cornet	.706
47	ReAlnet01_cornet	.706
48	ReAlnet10	.706
49	ReAlnet01	.706
50	vonegrcnn_52e_full	.706
51	convnext_small_imagenet_10_seed-0	.706
52	resnet50_imagenet_100_seed-0	.706
53	mehrer2020_alexnet_training_seed_09	.629
54	eicircuit_resnet18_bn_20260919	.629
55	eva02_large_in22k	.629
56	deit3_base_patch16_224_fb_in1k	.629
57	deit_small_imagenet_full_seed-0	.629
58	dinov2_vitg14_reg_lc	.608
59	pnasnet_large_halfPrecision	.608
60	resnet50_hvs_wzc	.608
61	mobilenet_v2_1_3_224	.608
62	pnasnet_large	.608
63	convnext_tiny_sup	.608
64	antialiased-r50	.608
65	convnext_large_imagenet_full_seed-0	.608
66	resnet152_imagenet_full	.608
67	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.542
68	resnet50_st_wzc_seed6_2_323	.524
69	resnet_50_v1_spiking_l4a	.524
70	yudixie_resnet50_distance_reg_0_240908	.524
71	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.524
72	vit_relpos_base_patch16_clsgap_224:sw_in1k	.524
73	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.524
74	resnet50_imagenet_10_seed-0	.524
75	resnet101_ecoset_full	.524
76	ReAlnet06_cornet	.467
77	ReAlnet06	.467
78	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.451
79	pr1_stl10_disentangled_alpha04	.451
80	AlexNet_SIN_fov4	.451
81	ReAlnet09_ALL	.451
82	resnet50-SIN_IN_IN	.451
83	convnext_tiny_imagenet_full_seed-0	.451
84	ijepa_vith14_linhead	.389
85	mehrer2020_alexnet_training_seed_07	.389
86	yudixie_wbh_object_class_scaling_0415_imagenet	.389
87	ReAlnet04_ALL	.389
88	yudixie_resnet50_category_class_0_240908	.389
89	inception_v1	.389
90	AT_efficientnet-b2	.389
91	AdvProp_efficientnet-b2	.389
92	focalnet_tiny_lrf_in1k	.389
93	resnext101_32x48d_wsl	.389
94	mobilenet_v2_1_4_224	.346
95	resnet50-vicregl0p75	.346
96	mobilenet_v2_1-4_224_pytorch	.346
97	mehrer2020_alexnet_training_seed_01_fov16	.335
98	ReAlnet05_cornet	.335
99	resnet_50_v1	.335
100	ReAlnet05	.335
101	resnet50_robust_l2_eps1	.335
102	convnext_femto_ols:d1_in1k	.335
103	AdvProp_efficientnet-b4	.335
104	resnet50-sup	.335
105	yudixie_resnet18_distance_rotation_0_240719	.335
106	mobilenet_v2_0_5_192	.298
107	resnet50-SIN_IN	.298
108	mehrer2020_alexnet_training_seed_04	.288
109	mobilenet_v2_1_0_192	.288
110	resnet_152_v1	.288
111	resnet50-vicregl0p9	.288
112	convnext_small_imagenet_1_seed-0	.288
113	resnext101_32x8d_wsl	.288
114	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.257
115	deit3_base_patch16_224_fb_in22k_ft_in1k	.248
116	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.248
117	resnet50_ewconplus_wzc_seed6_2_323	.248
118	vit_base_patch14_reg4_dinov2-lvd142m	.248
119	alexnet_fov12	.248
120	ReAlnet06_ALL	.248
121	ReAlnet03_ALL	.248
122	mobilenet_v2_0_75_224	.248
123	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.248
124	resnet50_imagenet_full	.248
125	resnet50_tutorial	.248
126	alexnet	.248
127	mehrer2020_alexnet_training_seed_05	.214
128	mehrer2020_alexnet_training_seed_01_fov4	.214
129	seresnext50_32x4d	.214
130	convnext_large_clip_laion2b_finelayers	.214
131	resnet50_st_wzc_seed7_2_323	.214
132	ReAlnet01_cornet_fov12	.214
133	Res2Net50_26w_4s	.214
134	convnext_small_imagenet_100_seed-0	.214
135	ReAlnet03_cornet	.191
136	yudixie_resnet50_distance_rotation_0_240908	.191
137	ReAlnet03	.191
138	dinov2_vitl14_lc_res336	.184
139	dinov2_vitl14_reg_lc	.184
140	xception	.184
141	resnet50-moclr8deg	.184
142	VOneCORnet-S	.184
143	convnext_xlarge:fb_in22k_ft_in1k	.184
144	BiT-S-R50x1	.184
145	deit_small_imagenet_1_seed-0	.184
146	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.184
147	cvt_cvt-21-224-in1k_4_LucyV4	.184
148	resnet50_ecoset_full	.184
149	resnet-152_v2_pytorch	.184
150	voneresnet-50-non_stochastic	.184
151	resnet50-SIN	.164
152	gabor_filter_entropy_4x4	.159
153	dinov2_vitg14_lc	.159
154	predictive_coding_pc	.159
155	alexnet_fov4	.159
156	resnet50_st_wzc_2	.159
157	compact_vgg19_IT	.159
158	ReAlnet08_ALL	.159
159	alexnet_training_seed_03	.159
160	resnet_50_v2	.159
161	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.159
162	yudixie_resnet18_distance_translation_0_240719	.159
163	efficientnet_b2_imagenet_full	.159
164	custom_model_cv_18_dagger_408	.159
165	deepeisnn_ei_cifar10_vgg19	.142
166	gabor_filter_mean_abs_4x4_v2	.137
167	mobilenet_v2_1_0_160	.137
168	nasnet_mobile	.137
169	omnivore_swinS	.137
170	yudixie_resnet18_object_class_0_240719	.137
171	resnet152_ecoset_full	.137
172	resnet-50-robust	.137
173	mehrer2020_alexnet_training_seed_03	.118
174	AlexNet_SIN	.118
175	resnet50_primary_visual_cortex	.118
176	briaai_rmbg_1_4	.118
177	yolos_tiny	.118
178	yudixie_resnet50_object_class_0_240908	.118
179	yudixie_resnet50_imagenet1kpret_0_240908	.118
180	yudixie_resnet50_random_0_240908	.118
181	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.118
182	deit_base_imagenet_full_seed-0	.118
183	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.118
184	ViT_L_32_imagenet1k	.118
185	convnext_tiny:in12k_ft_in1k	.105
186	resnet_50_v1_spiking	.102
187	voneresnet-50-robust	.102
188	vit_base_patch16_clip_224:openai_ft_in1k	.102
189	BiT-S-R152x2	.102
190	resnet50_robust_l2_eps3	.102
191	imagenet_l2_3_0	.102
192	convnext_base_imagenet_full_seed-0	.102
193	yudixie_resnet18_distance_reg_0_240719	.102
194	efficientnet_b0_imagenet_full	.102
195	resnet34_imagenet_full	.102
196	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.102
197	mehrer2020_alexnet_training_seed_06	.087
198	mehrer2020_alexnet_training_seed_02	.087
199	resnet18_fair	.087
200	convnext_large:fb_in22k_ft_in1k	.087
201	AdvProp_efficientnet-b8	.087
202	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.087
203	resnet18_imagenet_full	.078
204	convnext_base_fb_in1k_gram_aligned_dinov3	.075
205	AlexNet_SIN_fov12	.075
206	ReAlnet09_cornet	.075
207	ReAlnet07_cornet	.075
208	grcnn_109	.075
209	ReAlnet09	.075
210	ReAlnet07	.075
211	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.075
212	yudixie_resnet18_imagenet1kpret_0_240719	.075
213	deit_small_imagenet_10_seed-0	.075
214	resnet50_vicreg_linhead	.065
215	vit_base_patch16_dinov3-lvd1689m	.065
216	ReAlnet07_ALL	.065
217	resnet_50_v1_spiking_l3	.065
218	yudixie_resnet50_distance_translation_rotation_0_240908	.065
219	inception_v4	.065
220	vonegrcnn_62e_nobn	.065
221	resnet50-barlow	.065
222	vit_large_patch14_clip_224:laion2b_ft_in1k	.065
223	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.065
224	BiT-S-R50x3	.065
225	pnasnet_large_pytorch	.056
226	convnext_base_fb_in22k_ft_in1k	.056
227	resnet_101_v2	.056
228	mobilenet_v2_0_75_192	.056
229	AdvProp_efficientnet-b7	.056
230	resnet101_imagenet_full	.056
231	vit_large_clip336_openai	.048
232	yudixie_wbh_object_class_scaling_0415_run_1	.048
233	AlexNet_SIN_fov16	.048
234	ReAlnet05_ALL	.048
235	mobilenet_v2_1_0_128	.048
236	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.048
237	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.048
238	densenet-169	.048
239	resnet_SIN_IN_FT_IN	.048
240	resnet_50_v1_spiking_l4	.041
241	alexnet_training_seed_07	.041
242	yudixie_resnet50_distance_translation_0_240908	.041
243	efficientnet-b7	.041
244	BiT-S-R101x1	.041
245	alexnet_training_seed_01_fov4	.036
246	yudixie_resnet50_translation_rotation_0_240908	.036
247	voneresnet-50	.036
248	yudixie_resnet18_translation_rotation_0_240719	.036
249	mehrer2020_alexnet_training_seed_01	.031
250	resnet_152_v2	.031
251	grcnn	.031
252	resnet-18_test_m	.031
253	BiT-S-R101x3	.031
254	gabor_filter_entropy_4x4_v2_forcedCosine	.027
255	mobilenet_v2_0_75_160	.027
256	densenet-201	.027
257	yudixie_resnet18_random_0_240719	.027
258	yudixie_resnet18_category_class_0_240719	.027
259	deepeisnn_ei_imagenet_resnet18	.023
260	yudixie_wbh_object_class_scaling_0415_run_2	.023
261	ReAlnet02_cornet	.023
262	ReAlnet02	.023
263	vit_huge_clip336_laion	.020
264	compact_resnet50_robust_IT	.020
265	alexnet_training_seed_04	.020
266	alexnet_training_seed_09	.020
267	resnet_101_v1	.020
268	vit_large_patch14_clip_224:openai_ft_in1k	.020
269	resnext101_32x16d_wsl	.017
270	dinov2_vitl14_lc	.017
271	alexnet_training_seed_10	.017
272	yudixie_resnet18_translation_reg_0_240719	.017
273	yudixie_wbh_object_class_scaling_0415_run_3	.015
274	compact_vgg19_V4	.015
275	alexnet_training_seed_01	.015
276	inception_v3	.015
277	deit_large_imagenet_full_seed-0	.015
278	resnet50_imagenet_1_seed-0	.015
279	alexnet_training_seed_02	.013
280	mobilenet_v2_0_5_224	.013
281	omnivore_swinB	.013
282	densenet-121	.013
283	yudixie_resnet18_rotation_reg_0_240719	.013
284	compact_cornets_V4	.011
285	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.011
286	vit_large_patch14_clip_336:laion2b_ft_in1k	.011
287	hmax	.011
288	resnet50_byol_linhead	.009
289	alexnet_training_seed_01_fov12	.009
290	alexnet_training_seed_06	.009
291	yudixie_resnet50_translation_reg_0_240908	.009
292	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.009
293	gabor_filter_entropy_4x4_v2	.008
294	compact_resnet50_IT	.008
295	ReAlnet10_ALL	.008
296	vgg_16	.008
297	vit_base_patch14_dinov2-lvd142m	.007
298	deit_small_imagenet_100_seed-0	.006
299	cvt_cvt-13-384-in1k_4_LucyV4	.006
300	artResNet18_1	.005
301	compact_resnet50_V4	.004
302	effnetb1_272x240	.004
303	alexnet_training_seed_05	.004
304	BiT-S-R152x4	.004
305	alexnet_training_seed_01_fov16	.003
306	alexnet_training_seed_08	.003
307	blt_vs	.003
308	deepeisnn_ei_cifar10_resnet18	.003
309	compact_cornets_IT	.003
310	cvt_cvt-21-384-in1k_4_LucyV4	.002
311	compact_resnet50_robust_V4	.001
312	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3
313	mobilenet_v2_1_0_224

Benchmark bibtex

        @misc{ferguson_ngo_lee_dicarlo_schrimpf_2024,
         title={How Well is Visual Search Asymmetry predicted by a Binary-Choice, Rapid, Accuracy-based Visual-search, Oddball-detection (BRAVO) task?},
         url={osf.io/5ba3n},
         DOI={10.17605/OSF.IO/5BA3N},
         publisher={OSF},
         author={Ferguson, Michael E, Jr and Ngo, Jerry and Lee, Michael and DiCarlo, James and Schrimpf, Martin},
         year={2024},
         month={Jun}
}

Ceiling

0.77.

Note that scores are relative to this ceiling.

Data: Ferguson2024juncture

Metric: value_delta