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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	gabor_filter_entropy_4x4_v2	.947
2	gabor_filter_entropy_4x4	.941
3	gabor_filter_entropy_4x4_v2_forcedCosine	.906
4	AlexNet_SIN	.636
5	alexnet_training_seed_01	.630
6	alexnet_training_seed_10	.626
7	alexnet_training_seed_07	.578
8	alexnet_training_seed_03	.571
9	alexnet_training_seed_06	.570
10	alexnet_training_seed_04	.492
11	yudixie_wbh_object_class_scaling_0415_run_3	.490
12	AlexNet_SIN_fov16	.485
13	AlexNet_SIN_fov12	.458
14	alexnet_training_seed_05	.455
15	convnext_small_imagenet_10_seed-0	.438
16	alexnet_training_seed_01_fov12	.415
17	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.407
18	convnext_tiny_imagenet_full_seed-0	.383
19	alexnet_training_seed_01_fov16	.372
20	alexnet_training_seed_09	.369
21	yudixie_wbh_object_class_scaling_0415_run_1	.361
22	yudixie_wbh_object_class_scaling_0415_run_0	.361
23	alexnet	.335
24	alexnet_ks_torevert	.335
25	grcnn	.327
26	alexnet_training_seed_08	.313
27	alexnet_training_seed_02	.311
28	deepeisnn_ei_cifar10_resnet18	.303
29	alexnet_fov16	.285
30	pr1_stl10_disentangled_alpha04	.281
31	deit_small_imagenet_full_seed-0	.278
32	alexnet_fov12	.273
33	omnivore_swinS	.269
34	vit_relpos_base_patch16_clsgap_224:sw_in1k	.268
35	convnext_base_fb_in1k_gram_aligned_dinov3	.263
36	vit_large_patch14_clip_336:laion2b_ft_in1k	.262
37	yudixie_resnet18_random_0_240719	.255
38	vit_base_patch16_clip_224:openai_ft_in1k	.254
39	deepeisnn_ei_cifar10_vgg19	.252
40	densenet-121	.247
41	convnext_small_imagenet_full_seed-0	.231
42	convnext_large:fb_in22k_ft_in1k	.227
43	gabor_filter_mean_abs_4x4_v2	.226
44	deit_large_imagenet_full_seed-0	.220
45	alexnet_training_seed_01_fov4	.220
46	deit_base_imagenet_full_seed-0	.216
47	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.212
48	resnext101_32x8d_wsl	.206
49	nasnet_mobile	.206
50	convnext_small_imagenet_1_seed-0	.203
51	deit_small_imagenet_10_seed-0	.201
52	grcnn_109	.200
53	resnet101_ecoset_full	.199
54	convnext_base_fb_in22k_ft_in1k	.197
55	convnext_xlarge:fb_in22k_ft_in1k	.194
56	resnet50-vicreg	.189
57	resnet50-vicregl0p75	.181
58	AT_efficientnet-b2	.178
59	AdvProp_efficientnet-b2	.178
60	mobilenet_v2_1_0_128	.175
61	BiT-S-R50x1	.172
62	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.170
63	s3d	.167
64	resnet50_imagenet_100_seed-0	.167
65	resnet50_ecoset_full	.164
66	resnet50-barlow	.163
67	yolos_tiny	.163
68	resnet50_primary_visual_cortex	.161
69	resnet50-SIN_IN_IN	.159
70	resnet_SIN_IN_FT_IN	.159
71	antialias-resnet152	.155
72	vit_large_patch14_clip_224:laion2b_ft_in1k	.149
73	resnet_152_v1	.148
74	convnext_large_imagenet_full_seed-0	.147
75	dinov2_vitg14_lc	.145
76	artResNet18_1	.143
77	deit_small_imagenet_1_seed-0	.142
78	resnet50_robust_l2_eps3	.141
79	convnext_tiny:in12k_ft_in1k	.138
80	resnet50_st_wzc_seed3_2_323	.138
81	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.137
82	resnet_101_v1	.135
83	vit_huge_clip336_laion	.134
84	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.133
85	resnext101_32x16d_wsl	.133
86	resnet50-SIN	.133
87	resnet_101_v2	.131
88	resnet-18_test_m	.130
89	shufflenet_v2_x1_0	.121
90	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.121
91	resnet50-vitoimagevidnet8	.121
92	resnet50-VITO-8deg-cc	.121
93	resnet50_robust_l2_eps1	.121
94	resnet50_hvs_wzc	.120
95	efficientnet_b0	.119
96	antialiased-rnext101_32x8d	.118
97	resnet_50_v2	.118
98	imagenet_l2_3_0	.117
99	omnivore_swinB	.116
100	compact_resnet50_IT	.114
101	resnet18_imagenet_full	.112
102	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.111
103	mc3_18	.111
104	convnext_base:clip_laiona_augreg_ft_in1k_384	.107
105	r3d_18	.107
106	voneresnet-50-non_stochastic	.107
107	resnet50_st_wzc_seed7_2_323	.107
108	resnet18_ecoset_full	.106
109	convnext_base_imagenet_full_seed-0	.105
110	vonegrcnn_62e_nobn	.105
111	regnet_y_400mf	.104
112	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.101
113	resnet152_ecoset_full	.100
114	Res2Net50_26w_4s	.100
115	hmax	.097
116	BiT-S-R152x4	.097
117	inception_v4	.097
118	resnet50-moclr8deg	.097
119	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.096
120	resnet50-vicregl0p9	.094
121	dinov2_vitl14_lc	.094
122	resnet50_ewconplus_wzc_seed6_2_323	.094
123	cvt_cvt-21-224-in1k_4_LucyV4	.092
124	antialiased-r50	.089
125	AlexNet_SIN_fov4	.089
126	resnet50_ewconplus_wzc	.088
127	resnet101_imagenet_full	.087
128	seresnext50_32x4d	.087
129	resnet152_imagenet_full	.086
130	resnet34_ecoset_full	.085
131	voneresnet-50-robust	.084
132	SeLaVi-VGG-Sound	.081
133	compact_resnet50_robust_IT	.080
134	vit_base_patch14_dinov2-lvd142m	.080
135	mobilenet_v2_1_0_160	.080
136	resnet50_st_wzc_2	.079
137	voneresnet-50	.078
138	vit_large_clip336_openai	.077
139	pnasnet_large	.076
140	resnet50_imagenet_full	.074
141	deit_small_imagenet_100_seed-0	.074
142	resnet-152_v2_pytorch	.073
143	yudixie_resnet50_rotation_reg_0_240908	.073
144	BiT-S-R101x1	.072
145	resnet50_ewconplus_wzc_seed5_2__323	.072
146	regnety_032	.072
147	SeLaVi-AVE	.071
148	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.069
149	inception_v1	.067
150	resnet50_ewconplus_wzc_seed2_2__323	.064
151	resnet50_st_wzc_seed6_2_323	.063
152	convnext_tiny_sup	.063
153	dinov2_vitl14_lc_res336	.062
154	resnet_50_v1_spiking_l4a	.061
155	resnet_50_v1_spiking_l4	.061
156	resnet_50_v1_spiking	.061
157	resnet_50_v1	.061
158	resnet50-sup	.061
159	custom_model_cv_18_dagger_408	.061
160	mobilenet_v2_1_4_224	.059
161	densenet-201	.058
162	cvt_cvt-21-384-in1k_4_LucyV4	.057
163	yudixie_wbh_object_class_scaling_0415_run_2	.057
164	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.057
165	focalnet_tiny_lrf_in1k	.056
166	blt_vs	.056
167	resnet34_imagenet_full	.055
168	resnet_152_v2	.054
169	resnext101_32x32d_wsl	.053
170	mobilenet_v2_1_0_224	.052
171	VOneCORnet-S	.051
172	r2plus1d_18	.050
173	vit_large_patch14_clip_224:openai_ft_in1k	.048
174	convnext_femto_ols:d1_in1k	.047
175	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.047
176	deit3_base_patch16_224_fb_in22k_ft_in1k	.047
177	compact_resnet50_V4	.045
178	alexnet_fov4	.044
179	efficientnet_b2_imagenet_full	.044
180	mobilenet_v2_0_75_160	.043
181	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.043
182	resnext101_32x48d_wsl	.041
183	ReAlnet04	.040
184	eva02_large_in22k	.040
185	ReAlnet07_ALL	.040
186	deepeisnn_ei_imagenet_resnet18	.040
187	ReAlnet10	.040
188	resnet50-SIN_IN	.038
189	ReAlnet08	.038
190	ReAlnet05	.037
191	BiT-S-R50x3	.037
192	ReAlnet01	.037
193	convnext_small_imagenet_100_seed-0	.037
194	ReAlnet01_cornet_fov4	.037
195	effnetb1_272x240	.036
196	ReAlnet03	.036
197	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.036
198	BiT-S-R101x3	.036
199	cvt_cvt-13-224-in1k_4_LucyV4	.035
200	ReAlnet08_ALL	.035
201	ReAlnet02	.034
202	deit3_base_patch16_224_fb_in1k	.033
203	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.033
204	inception_v3	.033
205	ReAlnet04_ALL	.033
206	ReAlnet07	.032
207	vit_base_patch14_reg4_dinov2-lvd142m	.032
208	ReAlnet02_ALL	.032
209	ReAlnet09_ALL	.031
210	ReAlnet05_ALL	.031
211	resnet-50-robust	.031
212	ReAlnet10_cornet	.030
213	ReAlnet06_ALL	.030
214	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.030
215	ReAlnet10_ALL	.030
216	ReAlnet01_ALL	.029
217	cv_18_dagger_408_pretrained	.029
218	ReAlnet03_ALL	.028
219	densenet-169	.028
220	ReAlnet06	.027
221	predictive_coding_pc	.026
222	ReAlnet09	.026
223	cvt_cvt-13-384-in1k_4_LucyV4	.026
224	convnext_large_in22k_supervised	.025
225	ReAlnet05_cornet	.025
226	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.025
227	ReAlnet08_cornet	.025
228	resnet18_imagenet21kP	.024
229	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.024
230	ReAlnet07_cornet	.024
231	ReAlnet03_cornet	.023
232	yudixie_resnet50_random_0_240908	.023
233	BiT-S-R152x2	.023
234	nasnet_large	.022
235	ReAlnet04_cornet	.022
236	resnet50_imagenet_10_seed-0	.021
237	ReAlnet06_cornet	.021
238	compact_vgg19_V4	.020
239	compact_cornets_IT	.020
240	ReAlnet01_cornet	.020
241	ReAlnet02_cornet	.018
242	compact_vgg19_IT	.018
243	briaai_rmbg_1_4	.016
244	dinov2_vitg14_reg_lc	.016
245	convnext_xxlarge_clip	.016
246	ReAlnet09_cornet	.016
247	dinov2_vitl14_reg_lc_featread	.015
248	dinov2_vitl14_reg_lc	.015
249	yudixie_resnet50_imagenet1kpret_0_240312	.014
250	resnet_50_v1_spiking_l3	.014
251	yudixie_resnet50_imagenet1kpret_0_240908	.014
252	resnet50_tutorial	.014
253	efficientnet-b7	.014
254	AdvProp_efficientnet-b6	.013
255	xception	.012
256	mobilenet_v2_1-4_224_pytorch	.011
257	convnext_large_clip_laion2b_finelayers	.011
258	efficientnet_b0_imagenet_full	.010
259	AdvProp_efficientnet-b8	.010
260	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.010
261	AdvProp_efficientnet-b4	.009
262	yudixie_wbh_object_class_scaling_0415_imagenet	.008
263	yudixie_resnet18_imagenet1kpret_0_240719	.008
264	vit_base_patch16_dinov3-lvd1689m	.006
265	mobilenet_v2_1_3_224	.005
266	SeLaVi-Kinetics400	.005
267	vonegrcnn_47e	.005
268	vonegrcnn_52e_full	.004
269	tv_efficientnet-b1	.004
270	efficientnet_b1_imagenet_full	.004
271	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.003
272	yudixie_resnet18_distance_reg_0_240719	.003
273	yudixie_resnet50_distance_reg_0_240908	.003
274	yudixie_resnet18_rotation_reg_0_240719	.003
275	yudixie_resnet50_distance_translation_rotation_0_240908	.003
276	yudixie_resnet18_distance_rotation_0_240719	.002
277	ViT_L_32_imagenet1k	.002
278	convnext_base_fb_in1k	.002
279	mobilenet_v2_1_0_192	.001
280	yudixie_resnet50_translation_rotation_0_240908	.001
281	yudixie_resnet50_distance_rotation_0_240908	.001
282	resnet50_imagenet_1_seed-0	.001
283	vgg_16	.001
284	AdvProp_efficientnet-b7	.000
285	yudixie_resnet18_translation_reg_0_240719	.000
286	mobilenet_v2_0_75_224	.000
287	resnet18_fair	.000
288	yudixie_resnet18_category_class_0_240719	.000
289	yudixie_resnet50_object_class_0_240908	.000
290	mobilenet_v2_0_5_224	.000
291	vgg_19	.000
292	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.001
293	yudixie_resnet18_object_class_0_240719	.001
294	yudixie_resnet50_category_class_0_240908	.001
295	yudixie_resnet50_translation_reg_0_240908	.001
296	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.002
297	yudixie_resnet18_distance_translation_rotation_0_240719	.002
298	yudixie_resnet18_translation_rotation_0_240719	.003
299	yudixie_resnet50_distance_translation_0_240908	.003
300	yudixie_resnet18_distance_translation_0_240719	.005
301	pnasnet_large_halfPrecision
302	ReAlnet01_cornet_fov16	1.0
303	ReAlnet01_cornet_fov12	1.0
304	compact_cornets_V4	1.0
305	compact_resnet50_robust_V4	1.0
306	mvit_v2_s
307	SeLaVi-Kinetics-Sound
308	resnet50_eMMCR_Vanilla
309	mvit_v1_b
310	fixres_resnext101_32x48d_wsl
311	mobilenet_v2_0_75_192
312	mobilenet_v2_0_5_192
313	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