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

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.V2

Metric: rdm