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("tong.Coggan2024_fMRI.V2-rdm")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	AlexNet_SIN	.636
2	alexnet_training_seed_01	.630
3	alexnet_training_seed_10	.626
4	alexnet_training_seed_07	.578
5	alexnet_training_seed_03	.571
6	alexnet_training_seed_06	.570
7	alexnet_training_seed_04	.492
8	yudixie_wbh_object_class_scaling_0415_run_3	.490
9	AlexNet_SIN_fov16	.485
10	AlexNet_SIN_fov12	.458
11	alexnet_training_seed_05	.455
12	convnext_small_imagenet_10_seed-0	.438
13	alexnet_training_seed_01_fov12	.415
14	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.407
15	convnext_tiny_imagenet_full_seed-0	.383
16	alexnet_training_seed_01_fov16	.372
17	alexnet_training_seed_09	.369
18	yudixie_wbh_object_class_scaling_0415_run_1	.361
19	yudixie_wbh_object_class_scaling_0415_run_0	.361
20	alexnet	.335
21	alexnet_ks_torevert	.335
22	grcnn	.327
23	alexnet_training_seed_08	.313
24	alexnet_training_seed_02	.311
25	deepeisnn_ei_cifar10_resnet18	.303
26	resnet50_ewconplus_wzc_2_323	.286
27	alexnet_fov16	.285
28	pr1_stl10_disentangled_alpha04	.281
29	deit_small_imagenet_full_seed-0	.278
30	alexnet_fov12	.273
31	omnivore_swinS	.269
32	vit_relpos_base_patch16_clsgap_224:sw_in1k	.268
33	convnext_base_fb_in1k_gram_aligned_dinov3	.263
34	vit_large_patch14_clip_336:laion2b_ft_in1k	.262
35	yudixie_resnet18_random_0_240719	.255
36	vit_base_patch16_clip_224:openai_ft_in1k	.254
37	deepeisnn_ei_cifar10_vgg19	.252
38	densenet-121	.247
39	convnext_small_imagenet_full_seed-0	.231
40	convnext_large:fb_in22k_ft_in1k	.227
41	deit_large_imagenet_full_seed-0	.220
42	alexnet_training_seed_01_fov4	.220
43	deit_base_imagenet_full_seed-0	.216
44	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.212
45	resnext101_32x8d_wsl	.206
46	nasnet_mobile	.206
47	convnext_small_imagenet_1_seed-0	.203
48	deit_small_imagenet_10_seed-0	.201
49	grcnn_109	.200
50	resnet101_ecoset_full	.199
51	convnext_base_fb_in22k_ft_in1k	.197
52	convnext_xlarge:fb_in22k_ft_in1k	.194
53	resnet50-vicreg	.189
54	aughost_fair_resnet18	.183
55	resnet50-vicregl0p75	.181
56	AT_efficientnet-b2	.178
57	AdvProp_efficientnet-b2	.178
58	mobilenet_v2_1_0_128	.175
59	BiT-S-R50x1	.172
60	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.170
61	s3d	.167
62	resnet50_imagenet_100_seed-0	.167
63	resnet50_ecoset_full	.164
64	resnet50-barlow	.163
65	yolos_tiny	.163
66	resnet50_primary_visual_cortex	.161
67	resnet50-SIN_IN_IN	.159
68	resnet_SIN_IN_FT_IN	.159
69	antialias-resnet152	.155
70	resnet50_ewconplus_noseed_2_323	.152
71	vit_large_patch14_clip_224:laion2b_ft_in1k	.149
72	resnet_152_v1	.148
73	convnext_large_imagenet_full_seed-0	.147
74	artResNet18_1	.143
75	deit_small_imagenet_1_seed-0	.142
76	resnet50_robust_l2_eps3	.141
77	convnext_tiny:in12k_ft_in1k	.138
78	resnet50_st_wzc_seed3_2_323	.138
79	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.137
80	resnet_101_v1	.135
81	resnet50_ewconplus_wzc_seed7_2_323	.135
82	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.133
83	resnext101_32x16d_wsl	.133
84	resnet50-SIN	.133
85	resnet_101_v2	.131
86	resnet50_ewconplus_wzc_seed4_2_323	.131
87	resnet-18_test_m	.130
88	shufflenet_v2_x1_0	.121
89	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.121
90	resnet50-vitoimagevidnet8	.121
91	resnet50-VITO-8deg-cc	.121
92	resnet50_robust_l2_eps1	.121
93	efficientnet_b0	.119
94	antialiased-rnext101_32x8d	.118
95	resnet_50_v2	.118
96	imagenet_l2_3_0	.117
97	resnet50_st_wzc_seed4_2_323	.116
98	omnivore_swinB	.116
99	compact_resnet50_IT	.114
100	resnet18_imagenet_full	.112
101	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.111
102	mc3_18	.111
103	convnext_base:clip_laiona_augreg_ft_in1k_384	.107
104	r3d_18	.107
105	voneresnet-50-non_stochastic	.107
106	resnet50_st_wzc_seed7_2_323	.107
107	resnet18_ecoset_full	.106
108	convnext_base_imagenet_full_seed-0	.105
109	vonegrcnn_62e_nobn	.105
110	regnet_y_400mf	.104
111	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.101
112	resnet152_ecoset_full	.100
113	Res2Net50_26w_4s	.100
114	hmax	.097
115	BiT-S-R152x4	.097
116	inception_v4	.097
117	resnet50-moclr8deg	.097
118	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.096
119	resnet50-vicregl0p9	.094
120	resnet50_ewconplus_wzc_seed6_2_323	.094
121	cvt_cvt-21-224-in1k_4_LucyV4	.092
122	antialiased-r50	.089
123	AlexNet_SIN_fov4	.089
124	resnet50_ewconplus_wzc	.088
125	resnet101_imagenet_full	.087
126	resnet50_ewconplus_wzc_seed3_2_323	.087
127	resnet152_imagenet_full	.086
128	resnet34_ecoset_full	.085
129	voneresnet-50-robust	.084
130	SeLaVi-VGG-Sound	.081
131	compact_resnet50_robust_IT	.080
132	vit_base_patch14_dinov2-lvd142m	.080
133	mobilenet_v2_1_0_160	.080
134	resnet50_st_wzc_2	.079
135	voneresnet-50	.078
136	resnet50_st_wzc_2_323	.076
137	pnasnet_large	.076
138	resnet50_imagenet_full	.074
139	deit_small_imagenet_100_seed-0	.074
140	resnet-152_v2_pytorch	.073
141	yudixie_resnet50_rotation_reg_0_240908	.073
142	BiT-S-R101x1	.072
143	resnet50_ewconplus_wzc_seed5_2__323	.072
144	resnet50_st_wzc_noseed_2_323	.072
145	SeLaVi-AVE	.071
146	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.069
147	inception_v1	.067
148	resnet50_ewconplus_wzc_seed2_2__323	.064
149	resnet50_st_wzc_seed6_2_323	.063
150	convnext_tiny_sup	.063
151	resnet_50_v1_spiking_l4a	.061
152	resnet_50_v1_spiking_l4	.061
153	resnet_50_v1_spiking	.061
154	resnet_50_v1	.061
155	resnet50-sup	.061
156	custom_model_cv_18_dagger_408	.061
157	mobilenet_v2_1_4_224	.059
158	densenet-201	.058
159	cvt_cvt-21-384-in1k_4_LucyV4	.057
160	yudixie_wbh_object_class_scaling_0415_run_2	.057
161	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.057
162	focalnet_tiny_lrf_in1k	.056
163	blt_vs	.056
164	resnet34_imagenet_full	.055
165	resnet_152_v2	.054
166	resnext101_32x32d_wsl	.053
167	mobilenet_v2_1_0_224	.052
168	VOneCORnet-S	.051
169	r2plus1d_18	.050
170	vit_large_patch14_clip_224:openai_ft_in1k	.048
171	convnext_femto_ols:d1_in1k	.047
172	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.047
173	deit3_base_patch16_224_fb_in22k_ft_in1k	.047
174	compact_resnet50_V4	.045
175	alexnet_fov4	.044
176	efficientnet_b2_imagenet_full	.044
177	mobilenet_v2_0_75_160	.043
178	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.043
179	resnext101_32x48d_wsl	.041
180	ReAlnet04	.040
181	ReAlnet07_ALL	.040
182	deepeisnn_ei_imagenet_resnet18	.040
183	ReAlnet10	.040
184	resnet50-SIN_IN	.038
185	ReAlnet08	.038
186	ReAlnet05	.037
187	BiT-S-R50x3	.037
188	ReAlnet01	.037
189	convnext_small_imagenet_100_seed-0	.037
190	ReAlnet01_cornet_fov4	.037
191	effnetb1_272x240	.036
192	ReAlnet03	.036
193	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.036
194	BiT-S-R101x3	.036
195	resnet50_st_wzc_seed5_2_323	.036
196	cvt_cvt-13-224-in1k_4_LucyV4	.035
197	ReAlnet08_ALL	.035
198	ReAlnet02	.034
199	deit3_base_patch16_224_fb_in1k	.033
200	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.033
201	inception_v3	.033
202	ReAlnet04_ALL	.033
203	ReAlnet07	.032
204	vit_base_patch14_reg4_dinov2-lvd142m	.032
205	ReAlnet02_ALL	.032
206	ReAlnet09_ALL	.031
207	ReAlnet05_ALL	.031
208	resnet-50-robust	.031
209	ReAlnet10_cornet	.030
210	ReAlnet06_ALL	.030
211	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.030
212	ReAlnet10_ALL	.030
213	ReAlnet01_ALL	.029
214	cv_18_dagger_408_pretrained	.029
215	ReAlnet03_ALL	.028
216	densenet-169	.028
217	ReAlnet06	.027
218	predictive_coding_pc	.026
219	ReAlnet09	.026
220	cvt_cvt-13-384-in1k_4_LucyV4	.026
221	ReAlnet05_cornet	.025
222	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.025
223	ReAlnet08_cornet	.025
224	resnet18_imagenet21kP	.024
225	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.024
226	ReAlnet07_cornet	.024
227	ReAlnet03_cornet	.023
228	yudixie_resnet50_random_0_240908	.023
229	BiT-S-R152x2	.023
230	nasnet_large	.022
231	ReAlnet04_cornet	.022
232	resnet50_imagenet_10_seed-0	.021
233	ReAlnet06_cornet	.021
234	compact_vgg19_V4	.020
235	compact_cornets_IT	.020
236	ReAlnet01_cornet	.020
237	ReAlnet02_cornet	.018
238	compact_vgg19_IT	.018
239	briaai_rmbg_1_4	.016
240	ReAlnet09_cornet	.016
241	yudixie_resnet50_imagenet1kpret_0_240312	.014
242	resnet_50_v1_spiking_l3	.014
243	yudixie_resnet50_imagenet1kpret_0_240908	.014
244	resnet50_tutorial	.014
245	efficientnet-b7	.014
246	AdvProp_efficientnet-b6	.013
247	xception	.012
248	mobilenet_v2_1-4_224_pytorch	.011
249	efficientnet_b0_imagenet_full	.010
250	AdvProp_efficientnet-b8	.010
251	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.010
252	AdvProp_efficientnet-b4	.009
253	yudixie_wbh_object_class_scaling_0415_imagenet	.008
254	yudixie_resnet18_imagenet1kpret_0_240719	.008
255	vit_base_patch16_dinov3-lvd1689m	.006
256	mobilenet_v2_1_3_224	.005
257	SeLaVi-Kinetics400	.005
258	vonegrcnn_47e	.005
259	vonegrcnn_52e_full	.004
260	tv_efficientnet-b1	.004
261	efficientnet_b1_imagenet_full	.004
262	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.003
263	yudixie_resnet18_distance_reg_0_240719	.003
264	yudixie_resnet50_distance_reg_0_240908	.003
265	yudixie_resnet18_rotation_reg_0_240719	.003
266	yudixie_resnet50_distance_translation_rotation_0_240908	.003
267	yudixie_resnet18_distance_rotation_0_240719	.002
268	ViT_L_32_imagenet1k	.002
269	convnext_base_fb_in1k	.002
270	mobilenet_v2_1_0_192	.001
271	yudixie_resnet50_translation_rotation_0_240908	.001
272	yudixie_resnet50_distance_rotation_0_240908	.001
273	resnet50_imagenet_1_seed-0	.001
274	vgg_16	.001
275	AdvProp_efficientnet-b7	.000
276	yudixie_resnet18_translation_reg_0_240719	.000
277	mobilenet_v2_0_75_224	.000
278	resnet18_fair	.000
279	yudixie_resnet18_category_class_0_240719	.000
280	yudixie_resnet50_object_class_0_240908	.000
281	mobilenet_v2_0_5_224	.000
282	vgg_19	.000
283	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.001
284	yudixie_resnet18_object_class_0_240719	.001
285	yudixie_resnet50_category_class_0_240908	.001
286	yudixie_resnet50_translation_reg_0_240908	.001
287	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.002
288	yudixie_resnet18_distance_translation_rotation_0_240719	.002
289	yudixie_resnet18_translation_rotation_0_240719	.003
290	yudixie_resnet50_distance_translation_0_240908	.003
291	yudixie_resnet18_distance_translation_0_240719	.005
292	pnasnet_large_halfPrecision
293	ReAlnet01_cornet_fov16	1.0
294	ReAlnet01_cornet_fov12	1.0
295	compact_cornets_V4	1.0
296	compact_resnet50_robust_V4	1.0
297	mvit_v2_s
298	SeLaVi-Kinetics-Sound
299	resnet50_eMMCR_Vanilla
300	mvit_v1_b
301	fixres_resnext101_32x48d_wsl
302	mobilenet_v2_0_75_192
303	mobilenet_v2_0_5_192
304	pnasnet_large_pytorch

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

0.45.

Note that scores are relative to this ceiling.

Data: tong.Coggan2024_fMRI.V2

Metric: rdm