Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

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	convnext_xxlarge_clip	1.0
2	alexnet_fov16	1.0
3	resnet50-vitoimagevidnet8	1.0
4	resnet50-VITO-8deg-cc	1.0
5	resnet50_ewconplus_wzc	1.0
6	resnet18_ecoset_full	1.0
7	convnext_large_in22k_supervised	1.0
8	ReAlnet04_cornet	1.0
9	ReAlnet04	1.0
10	efficientnet_b1_imagenet_full	1.0
11	dinov2_vitl14_reg_lc_featread	.984
12	resnet50-vicreg	.984
13	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.984
14	resnet34_ecoset_full	.984
15	resnet50_st_wzc_seed3_2_323	.951
16	vonegrcnn_47e	.951
17	AdvProp_efficientnet-b6	.951
18	convnext_small_imagenet_full_seed-0	.951
19	cv_18_dagger_408_pretrained	.848
20	ReAlnet08_cornet	.848
21	ReAlnet08	.848
22	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.848
23	convnext_base:clip_laiona_augreg_ft_in1k_384	.848
24	convnext_base_fb_in1k	.819
25	resnet50_ewconplus_wzc_seed5_2__323	.819
26	ReAlnet01_cornet_fov16	.819
27	vgg_19	.819
28	yudixie_resnet50_rotation_reg_0_240908	.819
29	shufflenet_v2_x1_0	.819
30	yudixie_resnet18_distance_translation_rotation_0_240719	.819
31	ReAlnet01_cornet_fov4	.730
32	nasnet_large	.730
33	efficientnet_b0	.730
34	cvt_cvt-13-224-in1k_4_LucyV4	.730
35	resnext101_32x32d_wsl	.730
36	yudixie_wbh_object_class_scaling_0415_run_0	.706
37	ReAlnet02_ALL	.706
38	ReAlnet01_ALL	.706
39	ReAlnet10_cornet	.706
40	ReAlnet01_cornet	.706
41	ReAlnet10	.706
42	ReAlnet01	.706
43	vonegrcnn_52e_full	.706
44	convnext_small_imagenet_10_seed-0	.706
45	resnet50_imagenet_100_seed-0	.706
46	eva02_large_in22k	.629
47	deit3_base_patch16_224_fb_in1k	.629
48	deit_small_imagenet_full_seed-0	.629
49	dinov2_vitg14_reg_lc	.608
50	pnasnet_large_halfPrecision	.608
51	resnet50_hvs_wzc	.608
52	mobilenet_v2_1_3_224	.608
53	pnasnet_large	.608
54	convnext_tiny_sup	.608
55	antialiased-r50	.608
56	convnext_large_imagenet_full_seed-0	.608
57	resnet152_imagenet_full	.608
58	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.542
59	resnet50_st_wzc_seed6_2_323	.524
60	resnet_50_v1_spiking_l4a	.524
61	yudixie_resnet50_distance_reg_0_240908	.524
62	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.524
63	vit_relpos_base_patch16_clsgap_224:sw_in1k	.524
64	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.524
65	resnet50_imagenet_10_seed-0	.524
66	resnet101_ecoset_full	.524
67	ReAlnet06_cornet	.467
68	ReAlnet06	.467
69	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.451
70	pr1_stl10_disentangled_alpha04	.451
71	AlexNet_SIN_fov4	.451
72	ReAlnet09_ALL	.451
73	resnet50-SIN_IN_IN	.451
74	convnext_tiny_imagenet_full_seed-0	.451
75	yudixie_wbh_object_class_scaling_0415_imagenet	.389
76	ReAlnet04_ALL	.389
77	yudixie_resnet50_category_class_0_240908	.389
78	inception_v1	.389
79	AT_efficientnet-b2	.389
80	AdvProp_efficientnet-b2	.389
81	focalnet_tiny_lrf_in1k	.389
82	resnext101_32x48d_wsl	.389
83	mobilenet_v2_1_4_224	.346
84	resnet50-vicregl0p75	.346
85	mobilenet_v2_1-4_224_pytorch	.346
86	ReAlnet05_cornet	.335
87	resnet_50_v1	.335
88	ReAlnet05	.335
89	resnet50_robust_l2_eps1	.335
90	convnext_femto_ols:d1_in1k	.335
91	AdvProp_efficientnet-b4	.335
92	resnet50-sup	.335
93	yudixie_resnet18_distance_rotation_0_240719	.335
94	mobilenet_v2_0_5_192	.298
95	resnet50-SIN_IN	.298
96	mobilenet_v2_1_0_192	.288
97	resnet_152_v1	.288
98	resnet50-vicregl0p9	.288
99	convnext_small_imagenet_1_seed-0	.288
100	resnext101_32x8d_wsl	.288
101	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.257
102	deit3_base_patch16_224_fb_in22k_ft_in1k	.248
103	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.248
104	resnet50_ewconplus_wzc_seed6_2_323	.248
105	vit_base_patch14_reg4_dinov2-lvd142m	.248
106	alexnet_fov12	.248
107	ReAlnet06_ALL	.248
108	ReAlnet03_ALL	.248
109	mobilenet_v2_0_75_224	.248
110	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.248
111	resnet50_imagenet_full	.248
112	resnet50_tutorial	.248
113	alexnet	.248
114	convnext_large_clip_laion2b_finelayers	.214
115	resnet50_st_wzc_seed7_2_323	.214
116	ReAlnet01_cornet_fov12	.214
117	Res2Net50_26w_4s	.214
118	convnext_small_imagenet_100_seed-0	.214
119	ReAlnet03_cornet	.191
120	yudixie_resnet50_distance_rotation_0_240908	.191
121	ReAlnet03	.191
122	dinov2_vitl14_lc_res336	.184
123	dinov2_vitl14_reg_lc	.184
124	xception	.184
125	resnet50-moclr8deg	.184
126	VOneCORnet-S	.184
127	convnext_xlarge:fb_in22k_ft_in1k	.184
128	BiT-S-R50x1	.184
129	deit_small_imagenet_1_seed-0	.184
130	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.184
131	cvt_cvt-21-224-in1k_4_LucyV4	.184
132	resnet50_ecoset_full	.184
133	resnet-152_v2_pytorch	.184
134	voneresnet-50-non_stochastic	.184
135	resnet50-SIN	.164
136	dinov2_vitg14_lc	.159
137	predictive_coding_pc	.159
138	alexnet_fov4	.159
139	resnet50_st_wzc_2	.159
140	compact_vgg19_IT	.159
141	ReAlnet08_ALL	.159
142	alexnet_training_seed_03	.159
143	resnet_50_v2	.159
144	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.159
145	yudixie_resnet18_distance_translation_0_240719	.159
146	efficientnet_b2_imagenet_full	.159
147	custom_model_cv_18_dagger_408	.159
148	deepeisnn_ei_cifar10_vgg19	.142
149	mobilenet_v2_1_0_160	.137
150	nasnet_mobile	.137
151	omnivore_swinS	.137
152	yudixie_resnet18_object_class_0_240719	.137
153	resnet152_ecoset_full	.137
154	resnet-50-robust	.137
155	AlexNet_SIN	.118
156	resnet50_primary_visual_cortex	.118
157	briaai_rmbg_1_4	.118
158	yolos_tiny	.118
159	yudixie_resnet50_object_class_0_240908	.118
160	yudixie_resnet50_imagenet1kpret_0_240908	.118
161	yudixie_resnet50_random_0_240908	.118
162	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.118
163	deit_base_imagenet_full_seed-0	.118
164	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.118
165	ViT_L_32_imagenet1k	.118
166	convnext_tiny:in12k_ft_in1k	.105
167	resnet_50_v1_spiking	.102
168	voneresnet-50-robust	.102
169	vit_base_patch16_clip_224:openai_ft_in1k	.102
170	BiT-S-R152x2	.102
171	resnet50_robust_l2_eps3	.102
172	imagenet_l2_3_0	.102
173	convnext_base_imagenet_full_seed-0	.102
174	yudixie_resnet18_distance_reg_0_240719	.102
175	efficientnet_b0_imagenet_full	.102
176	resnet34_imagenet_full	.102
177	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.102
178	resnet18_fair	.087
179	convnext_large:fb_in22k_ft_in1k	.087
180	AdvProp_efficientnet-b8	.087
181	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.087
182	resnet18_imagenet_full	.078
183	convnext_base_fb_in1k_gram_aligned_dinov3	.075
184	AlexNet_SIN_fov12	.075
185	ReAlnet09_cornet	.075
186	ReAlnet07_cornet	.075
187	grcnn_109	.075
188	ReAlnet09	.075
189	ReAlnet07	.075
190	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.075
191	yudixie_resnet18_imagenet1kpret_0_240719	.075
192	deit_small_imagenet_10_seed-0	.075
193	vit_base_patch16_dinov3-lvd1689m	.065
194	ReAlnet07_ALL	.065
195	resnet_50_v1_spiking_l3	.065
196	yudixie_resnet50_distance_translation_rotation_0_240908	.065
197	inception_v4	.065
198	vonegrcnn_62e_nobn	.065
199	resnet50-barlow	.065
200	vit_large_patch14_clip_224:laion2b_ft_in1k	.065
201	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.065
202	BiT-S-R50x3	.065
203	pnasnet_large_pytorch	.056
204	convnext_base_fb_in22k_ft_in1k	.056
205	resnet_101_v2	.056
206	mobilenet_v2_0_75_192	.056
207	AdvProp_efficientnet-b7	.056
208	resnet101_imagenet_full	.056
209	vit_large_clip336_openai	.048
210	yudixie_wbh_object_class_scaling_0415_run_1	.048
211	AlexNet_SIN_fov16	.048
212	ReAlnet05_ALL	.048
213	mobilenet_v2_1_0_128	.048
214	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.048
215	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.048
216	densenet-169	.048
217	resnet_SIN_IN_FT_IN	.048
218	resnet_50_v1_spiking_l4	.041
219	alexnet_training_seed_07	.041
220	yudixie_resnet50_distance_translation_0_240908	.041
221	efficientnet-b7	.041
222	BiT-S-R101x1	.041
223	alexnet_training_seed_01_fov4	.036
224	yudixie_resnet50_translation_rotation_0_240908	.036
225	voneresnet-50	.036
226	yudixie_resnet18_translation_rotation_0_240719	.036
227	resnet_152_v2	.031
228	grcnn	.031
229	resnet-18_test_m	.031
230	BiT-S-R101x3	.031
231	mobilenet_v2_0_75_160	.027
232	densenet-201	.027
233	yudixie_resnet18_random_0_240719	.027
234	yudixie_resnet18_category_class_0_240719	.027
235	deepeisnn_ei_imagenet_resnet18	.023
236	yudixie_wbh_object_class_scaling_0415_run_2	.023
237	ReAlnet02_cornet	.023
238	ReAlnet02	.023
239	vit_huge_clip336_laion	.020
240	compact_resnet50_robust_IT	.020
241	alexnet_training_seed_04	.020
242	alexnet_training_seed_09	.020
243	resnet_101_v1	.020
244	vit_large_patch14_clip_224:openai_ft_in1k	.020
245	alexnet_training_seed_10	.017
246	yudixie_resnet18_translation_reg_0_240719	.017
247	yudixie_wbh_object_class_scaling_0415_run_3	.015
248	compact_vgg19_V4	.015
249	alexnet_training_seed_01	.015
250	inception_v3	.015
251	deit_large_imagenet_full_seed-0	.015
252	resnet50_imagenet_1_seed-0	.015
253	alexnet_training_seed_02	.013
254	mobilenet_v2_0_5_224	.013
255	omnivore_swinB	.013
256	densenet-121	.013
257	yudixie_resnet18_rotation_reg_0_240719	.013
258	compact_cornets_V4	.011
259	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.011
260	vit_large_patch14_clip_336:laion2b_ft_in1k	.011
261	alexnet_training_seed_01_fov12	.009
262	alexnet_training_seed_06	.009
263	yudixie_resnet50_translation_reg_0_240908	.009
264	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.009
265	aughost_fair_resnet18	.008
266	compact_resnet50_IT	.008
267	ReAlnet10_ALL	.008
268	vgg_16	.008
269	vit_base_patch14_dinov2-lvd142m	.007
270	deit_small_imagenet_100_seed-0	.006
271	cvt_cvt-13-384-in1k_4_LucyV4	.006
272	artResNet18_1	.005
273	compact_resnet50_V4	.004
274	effnetb1_272x240	.004
275	alexnet_training_seed_05	.004
276	BiT-S-R152x4	.004
277	alexnet_training_seed_01_fov16	.003
278	alexnet_training_seed_08	.003
279	blt_vs	.003
280	deepeisnn_ei_cifar10_resnet18	.003
281	compact_cornets_IT	.003
282	cvt_cvt-21-384-in1k_4_LucyV4	.002
283	compact_resnet50_robust_V4	.001
284	dinov2_vitl14_lc
285	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3
286	mobilenet_v2_1_0_224
287	hmax

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