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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Ferguson2024tilted_line-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	convnext_tiny_imagenet_full_seed-0	1.0
2	vit_large_patch14_clip_224:laion2b_ft_in1k	1.0
3	alexnet_training_seed_02	1.0
4	resnet50_ecoset_full	1.0
5	efficientnet_b1_imagenet_full	1.0
6	alexnet_training_seed_01	1.0
7	resnet-18_test_m	1.0
8	resnet50-vitoimagevidnet8	1.0
9	omnivore_swinS	1.0
10	resnet50-VITO-8deg-cc	1.0
11	mobilenet_v2_0_75_224	1.0
12	resnet50_tutorial	1.0
13	ReAlnet08	1.0
14	resnet-50-robust	1.0
15	swin_small_patch4_window7_224:ms_in22k_ft_in1k	1.0
16	pnasnet_large	1.0
17	resnet_50_v1_spiking_l3	1.0
18	ReAlnet08_cornet	1.0
19	vonegrcnn_52e_full	1.0
20	yudixie_resnet50_random_0_240908	1.0
21	resnet_50_v1_spiking	.975
22	mobilenet_v2_0_5_224	.975
23	resnet152_ecoset_full	.975
24	resnet152_imagenet_full	.975
25	resnet_101_v2	.975
26	resnet_152_v1	.975
27	alexnet_training_seed_05	.917
28	resnet50_imagenet_10_seed-0	.917
29	ReAlnet05	.917
30	convnext_small_imagenet_10_seed-0	.917
31	resnet50-SIN_IN_IN	.917
32	ReAlnet05_cornet	.917
33	yudixie_resnet18_category_class_0_240719	.917
34	ReAlnet06_ALL	.917
35	cvt_cvt-21-224-in1k_4_LucyV4	.883
36	mobilenet_v2_0_75_160	.883
37	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.883
38	yudixie_resnet50_object_class_0_240908	.883
39	resnet50-vicregl0p75	.883
40	densenet-169	.883
41	mobilenet_v2_1_0_128	.831
42	briaai_rmbg_1_4	.831
43	cvt_cvt-13-224-in1k_4_LucyV4	.831
44	resnext101_32x32d_wsl	.831
45	mobilenet_v2_1-4_224_pytorch	.831
46	resnet50-barlow	.831
47	mobilenet_v2_1_4_224	.831
48	voneresnet-50-robust	.831
49	grcnn_109	.831
50	convnext_tiny_sup	.831
51	BiT-S-R101x3	.831
52	deit_large_imagenet_full_seed-0	.800
53	convnext_xlarge:fb_in22k_ft_in1k	.800
54	mobilenet_v2_1_0_192	.800
55	ReAlnet01_cornet	.800
56	convnext_base_imagenet_full_seed-0	.800
57	yudixie_resnet18_distance_reg_0_240719	.800
58	vgg_16	.800
59	ReAlnet01	.800
60	resnet_SIN_IN_FT_IN	.800
61	convnext_large:fb_in22k_ft_in1k	.800
62	convnext_small_imagenet_100_seed-0	.753
63	ReAlnet10	.753
64	efficientnet_b0	.753
65	ReAlnet01_ALL	.753
66	vgg_19	.753
67	vonegrcnn_62e_nobn	.753
68	ReAlnet10_cornet	.753
69	BiT-S-R152x2	.753
70	alexnet_training_seed_04	.725
71	deit_small_imagenet_full_seed-0	.682
72	inception_v3	.682
73	ReAlnet09	.682
74	convnext_small_imagenet_full_seed-0	.682
75	resnet101_ecoset_full	.682
76	yudixie_resnet50_translation_reg_0_240908	.682
77	omnivore_swinB	.682
78	ReAlnet09_cornet	.682
79	resnet_101_v1	.682
80	antialiased-r50	.682
81	ReAlnet08_ALL	.682
82	deit_base_imagenet_full_seed-0	.657
83	convnext_large_imagenet_full_seed-0	.657
84	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.657
85	cvt_cvt-21-384-in1k_4_LucyV4	.657
86	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.657
87	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.657
88	vit_large_patch14_clip_224:openai_ft_in1k	.657
89	vit_large_patch14_clip_336:laion2b_ft_in1k	.657
90	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.657
91	vit_relpos_base_patch16_clsgap_224:sw_in1k	.657
92	resnet_50_v1_spiking_l4a	.657
93	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.657
94	mobilenet_v2_0_75_192	.657
95	AdvProp_efficientnet-b6	.657
96	custom_model_cv_18_dagger_408	.657
97	ViT_L_32_imagenet1k	.657
98	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.657
99	cvt_cvt-13-384-in1k_4_LucyV4	.657
100	vit_base_patch16_clip_224:openai_ft_in1k	.657
101	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.657
102	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.657
103	resnet50-SIN_IN	.657
104	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.657
105	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.657
106	yudixie_resnet18_distance_translation_rotation_0_240719	.657
107	efficientnet-b7	.657
108	AdvProp_efficientnet-b7	.657
109	AdvProp_efficientnet-b4	.657
110	AdvProp_efficientnet-b2	.657
111	AdvProp_efficientnet-b8	.657
112	BiT-S-R152x4	.657
113	resnet50-vicregl0p9	.657
114	AT_efficientnet-b2	.657
115	convnext_base:clip_laiona_augreg_ft_in1k_384	.657
116	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.618
117	yolos_tiny	.618
118	deit_small_imagenet_100_seed-0	.618
119	ReAlnet04_cornet	.618
120	ReAlnet04_ALL	.618
121	BiT-S-R101x1	.618
122	ReAlnet04	.618
123	yudixie_resnet50_distance_reg_0_240908	.595
124	resnet50_imagenet_100_seed-0	.595
125	yudixie_resnet18_rotation_reg_0_240719	.595
126	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.595
127	resnet34_imagenet_full	.560
128	resnext101_32x48d_wsl	.560
129	ReAlnet02_ALL	.560
130	deit_small_imagenet_10_seed-0	.539
131	deit_small_imagenet_1_seed-0	.539
132	VOneCORnet-S	.539
133	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.539
134	mobilenet_v2_1_0_224	.539
135	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.507
136	resnet50_imagenet_1_seed-0	.507
137	ReAlnet03_ALL	.507
138	BiT-S-R50x3	.507
139	hmax	.507
140	ReAlnet06	.489
141	yudixie_resnet50_rotation_reg_0_240908	.489
142	ReAlnet06_cornet	.489
143	resnet_152_v2	.489
144	efficientnet_b2_imagenet_full	.460
145	resnext101_32x8d_wsl	.460
146	artResNet18_1	.460
147	ReAlnet07_ALL	.460
148	yudixie_resnet50_distance_translation_rotation_0_240908	.460
149	mobilenet_v2_0_5_192	.443
150	resnet101_imagenet_full	.443
151	voneresnet-50-non_stochastic	.443
152	yudixie_resnet50_distance_rotation_0_240908	.443
153	Res2Net50_26w_4s	.443
154	yudixie_resnet18_translation_reg_0_240719	.443
155	resnet50-vicreg	.443
156	resnet50-moclr8deg	.443
157	resnet50_imagenet_full	.417
158	nasnet_large	.417
159	BiT-S-R50x1	.417
160	convnext_tiny:in12k_ft_in1k	.401
161	ReAlnet03	.401
162	convnext_small_imagenet_1_seed-0	.401
163	ReAlnet03_cornet	.401
164	alexnet_training_seed_03	.401
165	alexnet_training_seed_08	.377
166	efficientnet_b0_imagenet_full	.377
167	resnet50_robust_l2_eps1	.377
168	yudixie_resnet50_distance_translation_0_240908	.377
169	ReAlnet05_ALL	.377
170	imagenet_l2_3_0	.377
171	resnet50_robust_l2_eps3	.377
172	densenet-121	.377
173	ReAlnet10_ALL	.377
174	yudixie_resnet50_category_class_0_240908	.363
175	ReAlnet02_cornet	.363
176	yudixie_resnet50_imagenet1kpret_0_240908	.363
177	ReAlnet02	.363
178	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.342
179	resnet_50_v1_spiking_l4	.329
180	yudixie_resnet18_random_0_240719	.329
181	resnet_50_v1	.329
182	resnet50-sup	.329
183	effnetb1_272x240	.310
184	resnet18_imagenet_full	.310
185	inception_v4	.310
186	resnet34_ecoset_full	.310
187	shufflenet_v2_x1_0	.310
188	mobilenet_v2_1_3_224	.310
189	ReAlnet09_ALL	.310
190	densenet-201	.298
191	resnet-152_v2_pytorch	.281
192	nasnet_mobile	.281
193	vonegrcnn_47e	.281
194	yudixie_resnet18_translation_rotation_0_240719	.270
195	mobilenet_v2_1_0_160	.254
196	alexnet_training_seed_10	.254
197	ReAlnet07	.245
198	blt_vs	.245
199	ReAlnet07_cornet	.245
200	resnet18_ecoset_full	.230
201	yudixie_resnet18_imagenet1kpret_0_240719	.230
202	yudixie_resnet18_distance_translation_0_240719	.222
203	resnet50-SIN	.222
204	yudixie_resnet50_translation_rotation_0_240908	.222
205	voneresnet-50	.222
206	yudixie_resnet18_distance_rotation_0_240719	.209
207	grcnn	.189
208	alexnet_training_seed_06	.182
209	pnasnet_large_pytorch	.171
210	alexnet_training_seed_09	.165
211	convnext_femto_ols:d1_in1k	.155
212	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.141
213	inception_v1	.141
214	alexnet_training_seed_07	.135
215	xception	.135
216	yudixie_resnet18_object_class_0_240719	.135
217	resnet_50_v2	.116
218	resnet50_primary_visual_cortex	.111
219	focalnet_tiny_lrf_in1k

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

0.91.

Note that scores are relative to this ceiling.

Data: Ferguson2024tilted_line

Metric: value_delta