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.V1-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	.989
2	gabor_filter_entropy_4x4	.985
3	gabor_filter_entropy_4x4_v2_forcedCosine	.940
4	alexnet_training_seed_01	.752
5	alexnet_training_seed_10	.733
6	alexnet_training_seed_07	.708
7	alexnet_training_seed_06	.689
8	alexnet_training_seed_09	.683
9	alexnet_training_seed_02	.647
10	alexnet_training_seed_05	.621
11	alexnet_training_seed_04	.621
12	alexnet_training_seed_03	.592
13	AlexNet_SIN_fov16	.547
14	alexnet_training_seed_01_fov16	.453
15	alexnet_training_seed_08	.444
16	convnext_small_imagenet_10_seed-0	.383
17	gabor_filter_mean_abs_4x4_v2	.321
18	hmax	.307
19	vit_base_patch16_clip_224:openai_ft_in1k	.284
20	vit_relpos_base_patch16_clsgap_224:sw_in1k	.277
21	convnext_base_imagenet_full_seed-0	.277
22	convnext_base_fb_in1k_gram_aligned_dinov3	.265
23	alexnet_training_seed_01_fov4	.264
24	yudixie_resnet18_random_0_240719	.258
25	pr1_stl10_disentangled_alpha04	.257
26	deit_small_imagenet_10_seed-0	.256
27	vit_large_patch14_clip_336:laion2b_ft_in1k	.254
28	resnet_50_v2	.238
29	resnet-50-robust	.230
30	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.224
31	resnet_152_v2	.221
32	convnext_small_imagenet_1_seed-0	.219
33	convnext_base_fb_in1k	.215
34	alexnet_fov16	.207
35	deit_small_imagenet_1_seed-0	.204
36	predictive_coding_pc	.199
37	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.197
38	deit_small_imagenet_full_seed-0	.187
39	efficientnet_b2_imagenet_full	.185
40	compact_resnet50_robust_V4	.184
41	resnet50_primary_visual_cortex	.183
42	resnet50_eMMCR_Vanilla	.178
43	vit_large_patch14_clip_224:openai_ft_in1k	.176
44	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.170
45	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.169
46	convnext_femto_ols:d1_in1k	.166
47	alexnet_training_seed_01_fov12	.164
48	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.157
49	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.150
50	convnext_tiny_imagenet_full_seed-0	.147
51	densenet-121	.146
52	vit_huge_clip336_laion	.140
53	yolos_tiny	.139
54	resnet_101_v2	.139
55	resnet50-SIN_IN	.137
56	resnet50-vitoimagevidnet8	.136
57	resnet50-VITO-8deg-cc	.136
58	resnet50_st_wzc_seed6_2_323	.130
59	ViT_L_32_imagenet1k	.129
60	deit_small_imagenet_100_seed-0	.127
61	convnext_small_imagenet_full_seed-0	.126
62	resnet50_ewconplus_wzc_seed2_2__323	.124
63	inception_v1	.124
64	resnet50_ewconplus_wzc	.123
65	deit_large_imagenet_full_seed-0	.123
66	deit_base_imagenet_full_seed-0	.121
67	vit_base_patch16_dinov3-lvd1689m	.116
68	shufflenet_v2_x1_0	.114
69	r3d_18	.114
70	resnext101_32x32d_wsl	.112
71	resnet50_ewconplus_wzc_seed5_2__323	.110
72	resnet50_st_wzc_seed3_2_323	.110
73	yudixie_wbh_object_class_scaling_0415_run_3	.107
74	dinov2_vitg14_lc	.107
75	vonegrcnn_62e_nobn	.107
76	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.104
77	antialiased-rnext101_32x8d	.103
78	Res2Net50_26w_4s	.101
79	convnext_large:fb_in22k_ft_in1k	.099
80	seresnext50_32x4d	.097
81	convnext_small_imagenet_100_seed-0	.096
82	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.093
83	resnet34_imagenet_full	.086
84	omnivore_swinS	.086
85	vit_large_patch14_clip_224:laion2b_ft_in1k	.086
86	resnet18_ecoset_full	.085
87	resnet50_hvs_wzc	.083
88	AlexNet_SIN_fov4	.083
89	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.082
90	compact_resnet50_robust_IT	.082
91	resnet34_ecoset_full	.080
92	resnet-152_v2_pytorch	.080
93	vit_large_clip336_openai	.079
94	resnet50-moclr8deg	.077
95	yudixie_resnet50_rotation_reg_0_240908	.077
96	BiT-S-R101x1	.075
97	resnet50_ewconplus_wzc_seed6_2_323	.075
98	resnet50-vicregl0p9	.074
99	regnety_032	.073
100	custom_model_cv_18_dagger_408	.073
101	SeLaVi-Kinetics400	.073
102	resnet50_st_wzc_seed7_2_323	.072
103	resnext101_32x16d_wsl	.071
104	resnet-18_test_m	.068
105	resnet50_st_wzc_2	.068
106	efficientnet_b0	.067
107	s3d	.066
108	mobilenet_v2_1_0_224	.066
109	resnet_152_v1	.063
110	ReAlnet10_cornet	.063
111	ReAlnet10	.063
112	ReAlnet07_ALL	.060
113	ReAlnet08_cornet	.060
114	ReAlnet08	.060
115	alexnet_fov12	.060
116	ReAlnet05_cornet	.059
117	ReAlnet05	.059
118	ReAlnet03_ALL	.059
119	ReAlnet10_ALL	.059
120	grcnn_109	.059
121	ReAlnet05_ALL	.058
122	ReAlnet04_ALL	.058
123	ReAlnet02_ALL	.058
124	cvt_cvt-21-224-in1k_4_LucyV4	.058
125	ReAlnet06_ALL	.058
126	ReAlnet08_ALL	.058
127	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.057
128	ReAlnet09_ALL	.057
129	ReAlnet01_ALL	.057
130	ReAlnet07_cornet	.056
131	ReAlnet07	.056
132	ReAlnet03_cornet	.056
133	ReAlnet03	.056
134	ReAlnet04_cornet	.056
135	ReAlnet04	.056
136	ReAlnet01_cornet	.056
137	ReAlnet01	.056
138	BiT-S-R152x4	.056
139	convnext_large_imagenet_full_seed-0	.055
140	ReAlnet06_cornet	.055
141	ReAlnet06	.055
142	dinov2_vitl14_lc	.055
143	r2plus1d_18	.054
144	resnet50_imagenet_1_seed-0	.054
145	AT_efficientnet-b2	.054
146	AdvProp_efficientnet-b2	.054
147	nasnet_large	.053
148	ReAlnet09_cornet	.053
149	ReAlnet09	.053
150	ReAlnet02_cornet	.053
151	ReAlnet02	.053
152	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.050
153	resnet18_imagenet_full	.049
154	AlexNet_SIN_fov12	.049
155	convnext_tiny:in12k_ft_in1k	.049
156	resnet50_imagenet_full	.047
157	cv_18_dagger_408_pretrained	.044
158	grcnn	.044
159	ReAlnet01_cornet_fov4	.044
160	alexnet_fov4	.043
161	inception_v3	.043
162	compact_cornets_IT	.043
163	compact_resnet50_IT	.041
164	eva02_large_in22k	.039
165	mobilenet_v2_0_5_192	.039
166	resnet101_ecoset_full	.039
167	deit3_base_patch16_224_fb_in1k	.037
168	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.037
169	BiT-S-R101x3	.036
170	resnet50_ecoset_full	.035
171	resnet152_ecoset_full	.035
172	efficientnet-b7	.035
173	eicircuit_resnet18_bn_20260919	.035
174	resnet_SIN_IN_FT_IN	.035
175	inception_v4	.035
176	resnet50-barlow	.035
177	nasnet_mobile	.034
178	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.034
179	deit3_base_patch16_224_fb_in22k_ft_in1k	.034
180	dinov2_vitl14_lc_res336	.034
181	yudixie_wbh_object_class_scaling_0415_run_2	.034
182	regnet_y_400mf	.033
183	imagenet_l2_3_0	.033
184	resnext101_32x48d_wsl	.033
185	resnet152_imagenet_full	.033
186	yudixie_wbh_object_class_scaling_0415_run_1	.032
187	resnet50-vicregl0p75	.031
188	resnet18_imagenet21kP	.031
189	cvt_cvt-13-224-in1k_4_LucyV4	.030
190	vit_base_patch14_dinov2-lvd142m	.030
191	resnet50_robust_l2_eps3	.029
192	convnext_base:clip_laiona_augreg_ft_in1k_384	.027
193	densenet-201	.027
194	yudixie_wbh_object_class_scaling_0415_run_0	.026
195	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.026
196	effnetb1_272x240	.026
197	resnet_101_v1	.025
198	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.025
199	densenet-169	.025
200	compact_vgg19_IT	.023
201	resnet50-vicreg	.022
202	AdvProp_efficientnet-b6	.022
203	convnext_large_in22k_supervised	.022
204	cvt_cvt-13-384-in1k_4_LucyV4	.020
205	vit_base_patch14_reg4_dinov2-lvd142m	.019
206	convnext_xxlarge_clip	.019
207	cvt_cvt-21-384-in1k_4_LucyV4	.019
208	yudixie_resnet18_distance_translation_0_240719	.018
209	alexnet_ks_torevert	.018
210	alexnet	.018
211	resnext101_32x8d_wsl	.018
212	resnet101_imagenet_full	.017
213	compact_cornets_V4	.017
214	yudixie_resnet50_random_0_240908	.017
215	persistence_mem	.017
216	compact_vgg19_V4	.016
217	artResNet18_1	.016
218	resnet50_robust_l2_eps1	.015
219	AdvProp_efficientnet-b4	.014
220	omnivore_swinB	.014
221	convnext_tiny_sup	.013
222	voneresnet-50-robust	.013
223	yudixie_resnet50_imagenet1kpret_0_240312	.013
224	resnet_50_v1_spiking_l3	.013
225	resnet_50_v1_spiking_l4a	.013
226	resnet_50_v1_spiking	.013
227	resnet_50_v1_spiking_l4	.013
228	yudixie_resnet50_imagenet1kpret_0_240908	.013
229	resnet_50_v1	.013
230	resnet50-sup	.013
231	resnet50_tutorial	.013
232	tv_efficientnet-b1	.012
233	mobilenet_v2_1_4_224	.011
234	mobilenet_v2_1-4_224_pytorch	.011
235	yudixie_resnet18_category_class_0_240719	.011
236	AlexNet_SIN	.011
237	BiT-S-R50x1	.011
238	deepeisnn_ei_cifar10_vgg19	.010
239	vonealexnet	.009
240	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.009
241	antialiased-r50	.009
242	convnext_large_clip_laion2b_finelayers	.009
243	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.009
244	resnet50-SIN_IN_IN	.008
245	mobilenet_v2_1_3_224	.008
246	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.008
247	mobilenet_v2_0_75_224	.007
248	yudixie_resnet18_translation_rotation_0_240719	.007
249	mobilenet_v2_1_0_192	.007
250	convnext_xlarge:fb_in22k_ft_in1k	.007
251	dinov2_vitg14_reg_lc	.007
252	dinov2_vitl14_reg_lc_featread	.006
253	dinov2_vitl14_reg_lc	.006
254	xception	.006
255	BiT-S-R50x3	.006
256	resnet50_imagenet_100_seed-0	.006
257	vonegrcnn_52e_full	.005
258	persistence_memory	.005
259	vonegrcnn_47e	.005
260	antialias-resnet152	.005
261	mc3_18	.005
262	yudixie_wbh_object_class_scaling_0415_imagenet	.004
263	yudixie_resnet18_imagenet1kpret_0_240719	.004
264	yudixie_resnet50_translation_reg_0_240908	.004
265	mobilenet_v2_1_0_160	.004
266	pnasnet_large	.004
267	compact_resnet50_V4	.004
268	yudixie_resnet50_object_class_0_240908	.004
269	yudixie_resnet18_translation_reg_0_240719	.004
270	resnet50_imagenet_10_seed-0	.003
271	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.003
272	resnet50-SIN	.002
273	mobilenet_v2_0_5_224	.002
274	voneresnet-50-non_stochastic	.002
275	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.001
276	convnext_base_fb_in22k_ft_in1k	.001
277	yudixie_resnet18_rotation_reg_0_240719	.001
278	yudixie_resnet18_distance_rotation_0_240719	.001
279	yudixie_resnet18_distance_reg_0_240719	.001
280	deepeisnn_ei_cifar10_resnet18	.001
281	yudixie_resnet50_distance_reg_0_240908	.001
282	yudixie_resnet50_distance_translation_rotation_0_240908	.001
283	voneresnet-50	.001
284	yudixie_resnet50_category_class_0_240908	.001
285	VOneCORnet-S	.001
286	AdvProp_efficientnet-b8	.001
287	blt_vs	.001
288	yudixie_resnet50_distance_translation_0_240908	.000
289	vgg_16	.000
290	yudixie_resnet50_translation_rotation_0_240908	.000
291	AdvProp_efficientnet-b7	.000
292	yudixie_resnet18_distance_translation_rotation_0_240719	.000
293	yudixie_resnet50_distance_rotation_0_240908	.000
294	resnet18_fair	.000
295	briaai_rmbg_1_4	.000
296	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.000
297	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.000
298	efficientnet_b1_imagenet_full	.000
299	mobilenet_v2_0_75_160	.000
300	deepeisnn_ei_imagenet_resnet18	.000
301	BiT-S-R152x2	.001
302	vgg_19	.002
303	focalnet_tiny_lrf_in1k	.002
304	yudixie_resnet18_object_class_0_240719	.003
305	mobilenet_v2_0_75_192	.004
306	pnasnet_large_halfPrecision
307	ReAlnet01_cornet_fov16	1.0
308	ReAlnet01_cornet_fov12	1.0
309	SeLaVi-Kinetics-Sound
310	mvit_v2_s
311	SeLaVi-VGG-Sound
312	mvit_v1_b
313	fixres_resnext101_32x48d_wsl
314	SeLaVi-AVE
315	mobilenet_v2_1_0_128
316	efficientnet_b0_imagenet_full
317	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.V1

Metric: rdm