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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("tong.Coggan2024_fMRI.V1-rdm")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	alexnet_training_seed_01	.752
2	alexnet_training_seed_10	.733
3	alexnet_training_seed_07	.708
4	alexnet_training_seed_06	.689
5	alexnet_training_seed_09	.683
6	alexnet_training_seed_02	.647
7	alexnet_training_seed_05	.621
8	alexnet_training_seed_04	.621
9	alexnet_training_seed_03	.592
10	alexnet_training_seed_08	.444
11	convnext_small_imagenet_10_seed-0	.383
12	hmax	.307
13	vit_base_patch16_clip_224:openai_ft_in1k	.284
14	vit_relpos_base_patch16_clsgap_224:sw_in1k	.277
15	convnext_base_imagenet_full_seed-0	.277
16	yudixie_resnet18_random_0_240719	.258
17	deit_small_imagenet_10_seed-0	.256
18	vit_large_patch14_clip_336:laion2b_ft_in1k	.254
19	resnet_50_v2	.238
20	resnet-50-robust	.230
21	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.224
22	resnet_152_v2	.221
23	convnext_small_imagenet_1_seed-0	.219
24	deit_small_imagenet_1_seed-0	.204
25	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.197
26	deit_small_imagenet_full_seed-0	.187
27	efficientnet_b2_imagenet_full	.185
28	resnet50_primary_visual_cortex	.183
29	resnet50_eMMCR_Vanilla	.178
30	vit_large_patch14_clip_224:openai_ft_in1k	.176
31	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.170
32	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.169
33	convnext_femto_ols:d1_in1k	.166
34	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.157
35	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.150
36	convnext_tiny_imagenet_full_seed-0	.147
37	densenet-121	.146
38	yolos_tiny	.139
39	resnet_101_v2	.139
40	resnet50-SIN_IN	.137
41	resnet50-VITO-8deg-cc	.136
42	resnet50-vitoimagevidnet8	.136
43	ViT_L_32_imagenet1k	.129
44	deit_small_imagenet_100_seed-0	.127
45	convnext_small_imagenet_full_seed-0	.126
46	inception_v1	.124
47	deit_large_imagenet_full_seed-0	.123
48	deit_base_imagenet_full_seed-0	.121
49	shufflenet_v2_x1_0	.114
50	r3d_18	.114
51	resnext101_32x32d_wsl	.112
52	vonegrcnn_62e_nobn	.107
53	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.104
54	antialiased-rnext101_32x8d	.103
55	Res2Net50_26w_4s	.101
56	convnext_large:fb_in22k_ft_in1k	.099
57	convnext_small_imagenet_100_seed-0	.096
58	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.093
59	resnet34_imagenet_full	.086
60	omnivore_swinS	.086
61	vit_large_patch14_clip_224:laion2b_ft_in1k	.086
62	resnet18_ecoset_full	.085
63	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.082
64	resnet34_ecoset_full	.080
65	resnet-152_v2_pytorch	.080
66	resnet50-moclr8deg	.077
67	yudixie_resnet50_rotation_reg_0_240908	.077
68	BiT-S-R101x1	.075
69	resnet50-vicregl0p9	.074
70	custom_model_cv_18_dagger_408	.073
71	SeLaVi-Kinetics400	.073
72	resnext101_32x16d_wsl	.071
73	resnet-18_test_m	.068
74	efficientnet_b0	.067
75	s3d	.066
76	mobilenet_v2_1_0_224	.066
77	resnet_152_v1	.063
78	ReAlnet10	.063
79	ReAlnet10_cornet	.063
80	ReAlnet07_ALL	.060
81	ReAlnet08	.060
82	ReAlnet08_cornet	.060
83	ReAlnet05	.059
84	ReAlnet05_cornet	.059
85	ReAlnet03_ALL	.059
86	ReAlnet10_ALL	.059
87	grcnn_109	.059
88	ReAlnet05_ALL	.058
89	ReAlnet04_ALL	.058
90	ReAlnet02_ALL	.058
91	cvt_cvt-21-224-in1k_4_LucyV4	.058
92	ReAlnet06_ALL	.058
93	ReAlnet08_ALL	.058
94	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.057
95	ReAlnet09_ALL	.057
96	ReAlnet01_ALL	.057
97	ReAlnet07	.056
98	ReAlnet07_cornet	.056
99	ReAlnet03	.056
100	ReAlnet03_cornet	.056
101	ReAlnet04	.056
102	ReAlnet04_cornet	.056
103	ReAlnet01_cornet	.056
104	ReAlnet01	.056
105	BiT-S-R152x4	.056
106	convnext_large_imagenet_full_seed-0	.055
107	ReAlnet06	.055
108	ReAlnet06_cornet	.055
109	r2plus1d_18	.054
110	resnet50_imagenet_1_seed-0	.054
111	AdvProp_efficientnet-b2	.054
112	AT_efficientnet-b2	.054
113	nasnet_large	.053
114	ReAlnet09	.053
115	ReAlnet09_cornet	.053
116	ReAlnet02_cornet	.053
117	ReAlnet02	.053
118	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.050
119	resnet18_imagenet_full	.049
120	convnext_tiny:in12k_ft_in1k	.049
121	resnet50_imagenet_full	.047
122	cv_18_dagger_408_pretrained	.044
123	grcnn	.044
124	inception_v3	.043
125	mobilenet_v2_0_5_192	.039
126	resnet101_ecoset_full	.039
127	BiT-S-R101x3	.036
128	resnet50_ecoset_full	.035
129	resnet152_ecoset_full	.035
130	efficientnet-b7	.035
131	resnet_SIN_IN_FT_IN	.035
132	inception_v4	.035
133	resnet50-barlow	.035
134	nasnet_mobile	.034
135	regnet_y_400mf	.033
136	imagenet_l2_3_0	.033
137	resnext101_32x48d_wsl	.033
138	resnet152_imagenet_full	.033
139	resnet50-vicregl0p75	.031
140	resnet18_imagenet21kP	.031
141	cvt_cvt-13-224-in1k_4_LucyV4	.030
142	resnet50_robust_l2_eps3	.029
143	convnext_base:clip_laiona_augreg_ft_in1k_384	.027
144	densenet-201	.027
145	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.026
146	effnetb1_272x240	.026
147	resnet_101_v1	.025
148	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.025
149	densenet-169	.025
150	resnet50-vicreg	.022
151	AdvProp_efficientnet-b6	.022
152	cvt_cvt-13-384-in1k_4_LucyV4	.020
153	cvt_cvt-21-384-in1k_4_LucyV4	.019
154	yudixie_resnet18_distance_translation_0_240719	.018
155	alexnet_ks_torevert	.018
156	resnext101_32x8d_wsl	.018
157	resnet101_imagenet_full	.017
158	yudixie_resnet50_random_0_240908	.017
159	artResNet18_1	.016
160	resnet50_robust_l2_eps1	.015
161	AdvProp_efficientnet-b4	.014
162	omnivore_swinB	.014
163	convnext_tiny_sup	.013
164	voneresnet-50-robust	.013
165	resnet_50_v1_spiking_l4	.013
166	yudixie_resnet50_imagenet1kpret_0_240908	.013
167	resnet_50_v1_spiking	.013
168	resnet50_tutorial	.013
169	resnet_50_v1_spiking_l4a	.013
170	resnet_50_v1_spiking_l3	.013
171	resnet_50_v1	.013
172	resnet50-sup	.013
173	yudixie_resnet50_imagenet1kpret_0_240312	.013
174	tv_efficientnet-b1	.012
175	mobilenet_v2_1_4_224	.011
176	mobilenet_v2_1-4_224_pytorch	.011
177	yudixie_resnet18_category_class_0_240719	.011
178	AlexNet_SIN	.011
179	BiT-S-R50x1	.011
180	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.009
181	antialiased-r50	.009
182	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.009
183	resnet50-SIN_IN_IN	.008
184	mobilenet_v2_1_3_224	.008
185	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.008
186	mobilenet_v2_0_75_224	.007
187	yudixie_resnet18_translation_rotation_0_240719	.007
188	mobilenet_v2_1_0_192	.007
189	convnext_xlarge:fb_in22k_ft_in1k	.007
190	xception	.006
191	BiT-S-R50x3	.006
192	resnet50_imagenet_100_seed-0	.006
193	vonegrcnn_52e_full	.005
194	vonegrcnn_47e	.005
195	antialias-resnet152	.005
196	mc3_18	.005
197	yudixie_resnet18_imagenet1kpret_0_240719	.004
198	yudixie_resnet50_translation_reg_0_240908	.004
199	mobilenet_v2_1_0_160	.004
200	pnasnet_large	.004
201	yudixie_resnet50_object_class_0_240908	.004
202	yudixie_resnet18_translation_reg_0_240719	.004
203	resnet50_imagenet_10_seed-0	.003
204	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.003
205	resnet50-SIN	.002
206	mobilenet_v2_0_5_224	.002
207	voneresnet-50-non_stochastic	.002
208	yudixie_resnet18_rotation_reg_0_240719	.001
209	yudixie_resnet18_distance_rotation_0_240719	.001
210	yudixie_resnet18_distance_reg_0_240719	.001
211	yudixie_resnet50_distance_reg_0_240908	.001
212	yudixie_resnet50_distance_translation_rotation_0_240908	.001
213	voneresnet-50	.001
214	yudixie_resnet50_category_class_0_240908	.001
215	VOneCORnet-S	.001
216	AdvProp_efficientnet-b8	.001
217	blt_vs	.001
218	yudixie_resnet50_distance_translation_0_240908	.000
219	vgg_16	.000
220	yudixie_resnet50_translation_rotation_0_240908	.000
221	AdvProp_efficientnet-b7	.000
222	yudixie_resnet18_distance_translation_rotation_0_240719	.000
223	yudixie_resnet50_distance_rotation_0_240908	.000
224	briaai_rmbg_1_4	.000
225	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.000
226	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.000
227	efficientnet_b1_imagenet_full	.000
228	mobilenet_v2_0_75_160	.000
229	BiT-S-R152x2	.001
230	vgg_19	.002
231	focalnet_tiny_lrf_in1k	.002
232	yudixie_resnet18_object_class_0_240719	.003
233	mobilenet_v2_0_75_192	.004
234	mobilenet_v2_1_0_128
235	pnasnet_large_pytorch
236	efficientnet_b0_imagenet_full
237	SeLaVi-AVE
238	fixres_resnext101_32x48d_wsl
239	mvit_v1_b
240	SeLaVi-VGG-Sound
241	mvit_v2_s
242	SeLaVi-Kinetics-Sound

Benchmark bibtex

@inproceedings{santurkar2019computer,
    title={Computer Vision with a Single (Robust) Classifier},
    author={Shibani Santurkar and Dimitris Tsipras and Brandon Tran and Andrew Ilyas and Logan Engstrom and Aleksander Madry},
    booktitle={ArXiv preprint arXiv:1906.09453},
    year={2019}
}

Ceiling

Not available

Data: tong.Coggan2024_fMRI.V1

Metric: rdm