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("Hebart2023_fmri.V4-ridgecv")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	custom_model_cv_18_dagger_408	.459
2	dinov2_vitg14_reg_lc	.396
3	dinov2_vitl14_lc_res336	.385
4	dinov2_vitg14_lc	.370
5	cvt_cvt-21-224-in1k_4_LucyV4	.367
6	resnet50_st_wzc_seed7_2_323	.367
7	vit_large_clip336_openai	.365
8	resnet152_imagenet_full	.363
9	cvt_cvt-21-384-in1k_4_LucyV4	.358
10	resnet50_st_wzc_seed3_2_323	.358
11	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.355
12	deit3_base_patch16_224_fb_in22k_ft_in1k	.355
13	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.352
14	convnext_xxlarge_clip	.351
15	ReAlnet04_cornet	.351
16	convnext_large_in22k_supervised	.347
17	convnext_large:fb_in22k_ft_in1k	.344
18	convnext_xlarge:fb_in22k_ft_in1k	.346
19	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.343
20	eva02_large_in22k	.341
21	vit_relpos_base_patch16_clsgap_224:sw_in1k	.341
22	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.342
23	cvt_cvt-13-224-in1k_4_LucyV4	.342
24	ReAlnet01_cornet	.345
25	ReAlnet03_cornet	.344
26	voneresnet-50	.340
27	shufflenet_v2_x1_0	.339
28	cvt_cvt-13-384-in1k_4_LucyV4	.338
29	resnet50-moclr8deg	.337
30	convnext_tiny:in12k_ft_in1k	.331
31	resnet50_ewconplus_wzc	.329
32	AT_efficientnet-b2	.330
33	AdvProp_efficientnet-b2	.330
34	resnet50-VITO-8deg-cc	.327
35	resnet50-vitoimagevidnet8	.327
36	deit_small_imagenet_full_seed-0	.325
37	vit_large_patch14_clip_224:openai_ft_in1k	.324
38	resnet50_ewconplus_wzc_seed6_2_323	.324
39	resnet_50_v2	.321
40	vit_large_patch14_clip_336:laion2b_ft_in1k	.322
41	deepeisnn_ei_imagenet_resnet18	.322
42	dinov2_vitl14_reg_lc_featread	.322
43	dinov2_vitl14_reg_lc	.322
44	focalnet_tiny_lrf_in1k	.320
45	efficientnet_b2_imagenet_full	.319
46	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.317
47	AdvProp_efficientnet-b4	.320
48	resnet50_ewconplus_wzc_seed5_2__323	.315
49	alexnet	.315
50	VOneCORnet-S	.316
51	resnet50-SIN	.316
52	seresnext50_32x4d	.316
53	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.313
54	resnet50_ewconplus_wzc_seed2_2__323	.312
55	convnext_tiny_sup	.311
56	Res2Net50_26w_4s	.309
57	mobilenet_v2_1_4_224	.307
58	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.307
59	AdvProp_efficientnet-b8	.306
60	resnext101_32x32d_wsl	.302
61	resnet50-SIN_IN	.299
62	deit3_base_patch16_224_fb_in1k	.296
63	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.296
64	efficientnet_b0	.298
65	convnext_femto_ols:d1_in1k	.295
66	convnext_tiny_imagenet_full_seed-0	.293
67	resnet_SIN_IN_FT_IN	.293
68	resnet50-SIN_IN_IN	.293
69	convnext_large_clip_laion2b_finelayers	.293
70	resnext101_32x16d_wsl	.292
71	persistence_memory	.292
72	resnext101_32x48d_wsl	.292
73	resnet50_imagenet_full	.290
74	vit_base_patch16_clip_224:openai_ft_in1k	.291
75	resnext101_32x8d_wsl	.289
76	resnet50_st_wzc_seed6_2_323	.288
77	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.289
78	yudixie_wbh_object_class_scaling_0415_imagenet	.288
79	deit_base_imagenet_full_seed-0	.284
80	resnet50-sup	.283
81	resnet50_tutorial	.283
82	resnet_50_v1_spiking	.283
83	resnet_50_v1	.283
84	deit_large_imagenet_full_seed-0	.280
85	antialiased-r50	.281
86	convnext_base_imagenet_full_seed-0	.279
87	voneresnet-50-non_stochastic	.278
88	eicircuit_resnet18_bn_20260919	.277
89	convnext_large_imagenet_full_seed-0	.276
90	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.275
91	vit_large_patch14_clip_224:laion2b_ft_in1k	.277
92	predictive_coding_pc	.270
93	convnext_small_imagenet_full_seed-0	.270
94	convnext_base:clip_laiona_augreg_ft_in1k_384	.270
95	dinov2_vitl14_lc	.268
96	AlexNet_SIN_fov12	.265
97	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.265
98	pr1_stl10_disentangled_alpha04	.263
99	ReAlnet01_cornet_fov4	.264
100	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.261
101	AlexNet_SIN	.261
102	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.259
103	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.260
104	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.256
105	grcnn	.254
106	resnet-50-robust	.252
107	resnet50_robust_l2_eps1	.249
108	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.247
109	densenet-121	.244
110	convnext_base_fb_in1k_gram_aligned_dinov3	.241
111	convnext_base_fb_in1k	.241
112	AdvProp_efficientnet-b7	.235
113	resnet18_fair	.229
114	regnety_032	.230
115	AdvProp_efficientnet-b6	.225
116	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.218
117	convnext_base_fb_in22k_ft_in1k	.218
118	AlexNet_SIN_fov16	.217
119	effnetb1_272x240	.217
120	deepeisnn_ei_cifar10_resnet18	.212
121	deepeisnn_ei_cifar10_vgg19	.207
122	persistence_mem	.199
123	ViT_L_32_imagenet1k	.200
124	gabor_filter_entropy_4x4_v2_forcedCosine	.173
125	gabor_filter_entropy_4x4_v2	.170
126	gabor_filter_entropy_4x4	.163
127	yudixie_wbh_object_class_scaling_0415_run_2	.147
128	vonealexnet	.138
129	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.134
130	alexnet_training_seed_06	.113
131	alexnet_training_seed_02	.111
132	alexnet_training_seed_03	.108
133	yudixie_wbh_object_class_scaling_0415_run_1	.106
134	gabor_filter_mean_abs_4x4_v2	.105
135	alexnet_training_seed_09	.102
136	yudixie_wbh_object_class_scaling_0415_run_0	.104
137	alexnet_training_seed_01	.101
138	alexnet_training_seed_07	.098
139	alexnet_training_seed_10	.096
140	hmax	.096
141	compact_resnet50_robust_V4	.077
142	yudixie_wbh_object_class_scaling_0415_run_3	.072
143	vit_huge_clip336_laion
144	convnext_xxlarge:clip_laion2b_soup_ft_in1k
145	pnasnet_large_halfPrecision

Benchmark bibtex

None

Ceiling

0.41.

Note that scores are relative to this ceiling.

Data: Hebart2023_fmri.V4

Metric: ridgecv