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("Ferguson2024round_f-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	convnext_tiny:in12k_ft_in1k	1.0
2	convnext_small_imagenet_10_seed-0	1.0
3	alexnet_fov12	1.0
4	ReAlnet01_cornet_fov4	1.0
5	yudixie_resnet18_translation_rotation_0_240719	1.0
6	alexnet_training_seed_01	1.0
7	resnet-18_test_m	1.0
8	yudixie_resnet50_translation_reg_0_240908	1.0
9	resnet50-vicreg	1.0
10	alexnet_training_seed_01_fov16	1.0
11	briaai_rmbg_1_4	1.0
12	alexnet_fov16	1.0
13	compact_vgg19_V4	1.0
14	vit_base_patch16_clip_224:openai_ft_in1k	1.0
15	VOneCORnet-S	1.0
16	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.961
17	cvt_cvt-13-224-in1k_4_LucyV4	.961
18	resnext101_32x32d_wsl	.961
19	resnet-152_v2_pytorch	.961
20	inception_v4	.961
21	resnet_101_v1	.961
22	convnext_base:clip_laiona_augreg_ft_in1k_384	.961
23	yudixie_resnet50_random_0_240908	.906
24	compact_resnet50_robust_V4	.906
25	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.906
26	yudixie_resnet50_distance_rotation_0_240908	.906
27	compact_vgg19_IT	.906
28	alexnet_training_seed_01_fov12	.906
29	inception_v1	.906
30	cv_18_dagger_408_pretrained	.867
31	mobilenet_v2_1_0_160	.867
32	alexnet_training_seed_10	.867
33	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.867
34	resnet50_ecoset_full	.867
35	yudixie_resnet18_rotation_reg_0_240719	.867
36	resnet_50_v2	.867
37	inception_v3	.818
38	convnext_xlarge:fb_in22k_ft_in1k	.818
39	yudixie_resnet18_distance_rotation_0_240719	.818
40	deit_small_imagenet_full_seed-0	.783
41	resnet50_imagenet_10_seed-0	.783
42	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.783
43	alexnet_training_seed_04	.783
44	resnet18_imagenet_full	.783
45	alexnet_training_seed_07	.783
46	resnet_152_v2	.783
47	AdvProp_efficientnet-b4	.783
48	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.739
49	compact_cornets_V4	.739
50	AlexNet_SIN_fov16	.739
51	resnet_101_v2	.739
52	deit_base_imagenet_full_seed-0	.707
53	yolos_tiny	.707
54	efficientnet_b2_imagenet_full	.707
55	ReAlnet02_cornet	.707
56	BiT-S-R152x2	.707
57	ReAlnet02	.707
58	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.667
59	resnet101_imagenet_full	.667
60	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.667
61	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.667
62	yudixie_resnet18_random_0_240719	.667
63	yudixie_resnet50_distance_translation_rotation_0_240908	.667
64	yudixie_resnet50_object_class_0_240908	.638
65	vit_large_patch14_clip_224:openai_ft_in1k	.638
66	alexnet_training_seed_02	.638
67	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.638
68	resnet_50_v1_spiking_l4a	.638
69	cvt_cvt-21-224-in1k_4_LucyV4	.638
70	compact_resnet50_IT	.638
71	imagenet_l2_3_0	.638
72	resnet50_robust_l2_eps3	.638
73	BiT-S-R101x3	.638
74	BiT-S-R101x1	.638
75	ReAlnet08_ALL	.638
76	deit_small_imagenet_100_seed-0	.602
77	resnext101_32x8d_wsl	.576
78	alexnet_training_seed_06	.576
79	ReAlnet01_cornet_fov12	.576
80	efficientnet_b0	.576
81	yudixie_resnet50_translation_rotation_0_240908	.576
82	pnasnet_large	.576
83	BiT-S-R50x1	.576
84	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.544
85	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.544
86	vit_large_patch14_clip_224:laion2b_ft_in1k	.544
87	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.544
88	mobilenet_v2_1-4_224_pytorch	.544
89	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.544
90	compact_resnet50_V4	.544
91	mobilenet_v2_1_4_224	.544
92	convnext_large:fb_in22k_ft_in1k	.544
93	deit_small_imagenet_10_seed-0	.520
94	alexnet	.520
95	alexnet_training_seed_09	.520
96	ReAlnet10_ALL	.520
97	ReAlnet09	.470
98	convnext_base_imagenet_full_seed-0	.470
99	yudixie_resnet18_translation_reg_0_240719	.470
100	resnet50-moclr8deg	.470
101	ReAlnet09_cornet	.470
102	alexnet_training_seed_01_fov4	.470
103	convnext_small_imagenet_1_seed-0	.443
104	yudixie_resnet18_distance_reg_0_240719	.443
105	efficientnet_b1_imagenet_full	.424
106	mobilenet_v2_0_75_224	.424
107	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.424
108	efficientnet_b0_imagenet_full	.424
109	xception	.424
110	voneresnet-50	.424
111	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.400
112	vit_large_patch14_clip_336:laion2b_ft_in1k	.400
113	deit_small_imagenet_1_seed-0	.400
114	resnet_50_v1_spiking	.383
115	resnet18_ecoset_full	.383
116	convnext_tiny_imagenet_full_seed-0	.383
117	voneresnet-50-non_stochastic	.383
118	pnasnet_large_pytorch	.383
119	ReAlnet05_ALL	.383
120	ReAlnet06_ALL	.383
121	compact_resnet50_robust_IT	.361
122	convnext_small_imagenet_100_seed-0	.346
123	hmax	.346
124	yudixie_resnet50_rotation_reg_0_240908	.346
125	yudixie_resnet18_imagenet1kpret_0_240719	.346
126	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.346
127	artResNet18_1	.346
128	omnivore_swinS	.346
129	resnet_50_v1_spiking_l4	.326
130	resnext101_32x48d_wsl	.326
131	convnext_femto_ols:d1_in1k	.326
132	resnet34_imagenet_full	.312
133	resnet50_ewconplus_wzc	.312
134	mobilenet_v2_0_5_224	.312
135	resnet152_ecoset_full	.312
136	nasnet_large	.312
137	ReAlnet09_ALL	.312
138	alexnet_training_seed_03	.312
139	cvt_cvt-21-384-in1k_4_LucyV4	.282
140	deit_large_imagenet_full_seed-0	.282
141	ReAlnet01_cornet	.282
142	AlexNet_SIN_fov4	.282
143	nasnet_mobile	.282
144	ReAlnet01	.282
145	resnet50_imagenet_100_seed-0	.255
146	custom_model_cv_18_dagger_408	.255
147	resnet50-SIN_IN	.255
148	resnet50-SIN	.255
149	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.255
150	shufflenet_v2_x1_0	.255
151	ReAlnet01_cornet_fov16	.255
152	ReAlnet02_ALL	.255
153	grcnn	.255
154	vonegrcnn_52e_full	.255
155	ReAlnet07_ALL	.255
156	yudixie_resnet50_distance_reg_0_240908	.230
157	yudixie_resnet18_distance_translation_rotation_0_240719	.230
158	yudixie_resnet50_distance_translation_0_240908	.230
159	yudixie_resnet18_category_class_0_240719	.230
160	omnivore_swinB	.230
161	ReAlnet03_ALL	.230
162	ReAlnet04_ALL	.230
163	resnet_SIN_IN_FT_IN	.230
164	densenet-121	.230
165	ReAlnet07	.208
166	ReAlnet03	.208
167	convnext_small_imagenet_full_seed-0	.208
168	ReAlnet03_cornet	.208
169	ReAlnet04_cornet	.208
170	resnet_50_v1_spiking_l3	.208
171	ReAlnet07_cornet	.208
172	ReAlnet01_ALL	.208
173	AlexNet_SIN_fov12	.208
174	ReAlnet04	.208
175	ReAlnet08	.187
176	AlexNet_SIN	.187
177	AdvProp_efficientnet-b6	.187
178	resnet50-VITO-8deg-cc	.187
179	vgg_16	.187
180	ReAlnet08_cornet	.187
181	resnet50-vitoimagevidnet8	.187
182	resnet50_robust_l2_eps1	.187
183	AdvProp_efficientnet-b2	.187
184	resnet50-vicregl0p9	.187
185	AT_efficientnet-b2	.187
186	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.169
187	convnext_large_imagenet_full_seed-0	.169
188	blt_vs	.160
189	yudixie_resnet18_object_class_0_240719	.160
190	ReAlnet05	.153
191	mobilenet_v2_0_5_192	.153
192	resnet101_ecoset_full	.153
193	ReAlnet05_cornet	.153
194	voneresnet-50-robust	.153
195	vonegrcnn_47e	.153
196	AdvProp_efficientnet-b8	.153
197	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.138
198	yudixie_resnet50_category_class_0_240908	.138
199	densenet-201	.138
200	ReAlnet10	.138
201	mobilenet_v2_0_75_160	.138
202	cvt_cvt-13-384-in1k_4_LucyV4	.138
203	compact_cornets_IT	.138
204	vonegrcnn_62e_nobn	.138
205	ReAlnet10_cornet	.138
206	resnet50_imagenet_1_seed-0	.125
207	resnet152_imagenet_full	.113
208	ReAlnet06	.113
209	yudixie_resnet18_distance_translation_0_240719	.113
210	ReAlnet06_cornet	.113
211	BiT-S-R50x3	.113
212	alexnet_training_seed_08	.102
213	resnet-50-robust	.102
214	ViT_L_32_imagenet1k	.102
215	grcnn_109	.102
216	BiT-S-R152x4	.102
217	resnet_152_v1	.102
218	resnet34_ecoset_full	.092
219	alexnet_fov4	.092
220	mobilenet_v2_0_75_192	.092
221	resnet50_imagenet_full	.092
222	efficientnet-b7	.092
223	vit_relpos_base_patch16_clsgap_224:sw_in1k	.092
224	resnet50_primary_visual_cortex	.092
225	mobilenet_v2_1_0_128	.083
226	resnet50_tutorial	.075
227	resnet50-barlow	.075
228	mobilenet_v2_1_0_224	.075
229	convnext_tiny_sup	.075
230	resnet50-vicregl0p75	.075
231	densenet-169	.075
232	effnetb1_272x240	.068
233	yudixie_resnet50_imagenet1kpret_0_240908	.061
234	mobilenet_v2_1_3_224	.061
235	focalnet_tiny_lrf_in1k	.055
236	AdvProp_efficientnet-b7	.055
237	alexnet_training_seed_05	.050
238	Res2Net50_26w_4s	.050
239	resnet_50_v1	.033
240	resnet50-sup	.033
241	mobilenet_v2_1_0_192	.030
242	antialiased-r50	.027
243	resnet50-SIN_IN_IN	.018
244	vgg_19	.012

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

0.87.

Note that scores are relative to this ceiling.

Data: Ferguson2024round_f

Metric: value_delta