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-match")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	bp_resnet50_julios	1.0
2	resnet50-moclr8deg	.534
3	resnet50_robust_l2_eps1	.503
4	vonegrcnn_47e	.498
5	vonegrcnn_62e_nobn	.494
6	vonegrcnn_52e_full	.490
7	resnet_SIN_IN_FT_IN	.489
8	resnet50_tutorial	.488
9	resnet50-vitoimagevidnet8	.483
10	resnet50-VITO-8deg-cc	.483
11	densenet_201_pytorch	.476
12	resnet50_robust_l2_eps3	.476
13	imagenet_l2_3_0	.476
14	resnet18_imagenet21kP	.470
15	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.469
16	antialias-resnet152	.464
17	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.463
18	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.416
19	resnet_50_v2	.408
20	vgg_16	.407
21	resnext101_32x8d_wsl	.407
22	vgg_19	.404
23	efficientnet_b0_imagenet_full	.399
24	efficientnet_b1_imagenet_full	.396
25	efficientnet_b2_imagenet_full	.396
26	resnext101_32x16d_wsl	.387
27	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.381
28	shufflenet_v2_x1_0	.379
29	resnet-152_v2_pytorch	.375
30	alexnet_workflow_trigger	.375
31	alexnet_ks_torevert	.375
32	alexnet	.375
33	voneresnet-50-robust	.372
34	custom_model_cv_18_dagger_408	.371
35	voneresnet-50-non_stochastic	.368
36	ReAlnet09_cornet	.364
37	ReAlnet09	.364
38	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.363
39	grcnn	.361
40	resnet18_imagenet_full	.358
41	resnet34_imagenet_full	.358
42	ReAlnet04_cornet	.358
43	ReAlnet04	.358
44	ReAlnet01_cornet_fov12	.357
45	voneresnet-50	.357
46	grcnn_109	.356
47	Res2Net50_26w_4s	.354
48	ReAlnet05_cornet	.354
49	ReAlnet05	.354
50	resnet50-vicregl0p9	.352
51	resnet-50-robust	.352
52	pnasnet_large_pytorch	.351
53	ReAlnet06_cornet	.350
54	ReAlnet06	.350
55	ReAlnet03_cornet	.349
56	ReAlnet03	.349
57	ReAlnet07_cornet	.347
58	ReAlnet07	.347
59	ReAlnet01_cornet	.347
60	ReAlnet01	.347
61	ReAlnet01_cornet_fov16	.346
62	ReAlnet02_cornet	.346
63	ReAlnet02	.346
64	resnet50-vicregl0p75	.345
65	convnext_tiny_sup	.344
66	efficientnet_b0	.342
67	ReAlnet08_cornet	.342
68	ReAlnet08	.342
69	ReAlnet10_ALL	.341
70	ReAlnet10_cornet	.338
71	ReAlnet10	.338
72	alexnet_fov4	.336
73	resnet18_ecoset_full	.336
74	convnext_large:fb_in22k_ft_in1k	.336
75	ReAlnet08_ALL	.335
76	ReAlnet07_ALL	.333
77	resnet_101_v2	.333
78	resnet50_ewconplus_wzc	.332
79	ReAlnet03_ALL	.332
80	mobilenet_v2_1_0_224	.330
81	mobilenet_v2_1_4_224	.330
82	mobilenet_v2_1-4_224_pytorch	.330
83	resnet50-SIN_IN	.329
84	ReAlnet05_ALL	.329
85	ReAlnet02_ALL	.328
86	ReAlnet04_ALL	.327
87	ReAlnet01_ALL	.327
88	ReAlnet06_ALL	.326
89	resnet_152_v2	.326
90	focalnet_tiny_lrf_in1k	.326
91	resnext101_32x32d_wsl	.325
92	regnet_y_400mf	.322
93	ReAlnet09_ALL	.320
94	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.320
95	convnext_xlarge:fb_in22k_ft_in1k	.319
96	alexnet_fov12	.319
97	resnet50_imagenet_full	.318
98	resnet34_ecoset_full	.317
99	resnet101_imagenet_full	.316
100	resnet50-barlow	.313
101	resnet50-vicreg	.311
102	resnet152_imagenet_full	.308
103	resnet_152_v1	.307
104	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.304
105	resnet_101_v1	.297
106	VOneCORnet-S	.296
107	densenet-121	.291
108	inception_v3_pytorch	.291
109	antialiased-r50	.290
110	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.289
111	alexnet_fov16	.289
112	resnet_50_v1	.288
113	resnet50-sup	.288
114	densenet-201	.286
115	BiT-S-R50x1	.286
116	AlexNet_SIN	.281
117	resnet50_imagenet_100_seed-0	.279
118	resnext101_32x48d_wsl	.278
119	resnet-18_test_m	.273
120	resnet50-SIN_IN_IN	.272
121	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.271
122	yudixie_resnet50_imagenet1kpret_0_240908	.271
123	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.270
124	ReAlnet01_cornet_fov4	.268
125	resnet50_ecoset_full	.266
126	convnext_tiny:in12k_ft_in1k	.265
127	AT_efficientnet-b2	.265
128	AdvProp_efficientnet-b2	.265
129	deit_large_imagenet_full_seed-0	.263
130	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.260
131	yudixie_resnet18_imagenet1kpret_0_240719	.258
132	convnext_base:clip_laiona_augreg_ft_in1k_384	.257
133	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.256
134	BiT-S-R101x1	.255
135	resnet50-SIN	.254
136	BiT-S-R50x3	.254
137	BiT-S-R152x2	.254
138	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.253
139	resnet101_ecoset_full	.253
140	densenet-169	.250
141	deit_small_imagenet_100_seed-0	.247
142	BiT-S-R101x3	.244
143	effnetb1_272x240	.242
144	convnext_femto_ols:d1_in1k	.242
145	cvt_cvt-21-224-in1k_4_LucyV4	.238
146	resnet152_ecoset_full	.238
147	convnext_small_imagenet_full_seed-0	.238
148	deit_base_imagenet_full_seed-0	.238
149	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.237
150	resnet50_eMMCR_Vanilla	.233
151	AlexNet_SIN_fov12	.232
152	AdvProp_efficientnet-b4	.228
153	inception_v1	.224
154	AlexNet_SIN_fov4	.221
155	convnext_tiny_imagenet_full_seed-0	.220
156	cvt_cvt-21-384-in1k_4_LucyV4	.219
157	cvt_cvt-13-224-in1k_4_LucyV4	.217
158	AlexNet_SIN_fov16	.215
159	resnet_50_v1_spiking	.210
160	convnext_base_imagenet_full_seed-0	.209
161	deit_small_imagenet_full_seed-0	.207
162	resnet50_imagenet_10_seed-0	.206
163	vit_relpos_base_patch16_clsgap_224:sw_in1k	.203
164	vit_large_patch14_clip_224:laion2b_ft_in1k	.202
165	vit_large_patch14_clip_336:laion2b_ft_in1k	.200
166	vit_base_patch16_clip_224:openai_ft_in1k	.199
167	cvt_cvt-13-384-in1k_4_LucyV4	.198
168	convnext_small_imagenet_100_seed-0	.191
169	nasnet_mobile	.191
170	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.188
171	AdvProp_efficientnet-b6	.185
172	efficientnet-b7	.176
173	xception	.175
174	artResNet18_1	.173
175	tv_efficientnet-b1	.169
176	convnext_large_imagenet_full_seed-0	.166
177	vit_large_patch14_clip_224:openai_ft_in1k	.157
178	resnet_50_v1_spiking_l4a	.155
179	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.153
180	pnasnet_large	.150
181	AdvProp_efficientnet-b7	.142
182	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.139
183	deit_small_imagenet_10_seed-0	.133
184	AdvProp_efficientnet-b8	.132
185	resnet_50_v1_spiking_l4	.130
186	mobilenet_v2_0_5_192	.129
187	inception_v3	.117
188	mobilenet_v2_0_5_224	.117
189	resnet50_imagenet_1_seed-0	.116
190	mobilenet_v2_0_75_160	.115
191	convnext_small_imagenet_10_seed-0	.114
192	nasnet_large	.113
193	inception_v4	.110
194	resnet50_primary_visual_cortex	.105
195	mobilenet_v2_1_0_128	.105
196	mobilenet_v2_0_75_192	.103
197	mobilenet_v2_0_75_224	.099
198	yudixie_resnet50_category_class_0_240908	.097
199	mobilenet_v2_1_0_160	.089
200	yudixie_resnet18_object_class_0_240719	.089
201	yudixie_resnet50_object_class_0_240908	.088
202	blt_vs	.086
203	mobilenet_v2_1_0_192	.085
204	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.083
205	convnext_small_imagenet_1_seed-0	.083
206	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.080
207	cv_18_dagger_408_pretrained	.077
208	compact_resnet50_IT	.072
209	yudixie_resnet18_category_class_0_240719	.071
210	yudixie_resnet18_distance_reg_0_240719	.070
211	mobilenet_v2_1_3_224	.070
212	vit_base_patch16_dinov3:lvd1689m	.066
213	BiT-S-R152x4	.059
214	yudixie_resnet18_distance_translation_rotation_0_240719	.056
215	yudixie_resnet18_distance_rotation_0_240719	.055
216	vit_base_patch14_reg4_dinov2:lvd142m	.054
217	alexnet_training_seed_09	.053
218	compact_vgg19_IT	.053
219	ViT_L_32_imagenet1k	.052
220	alexnet_training_seed_08	.051
221	alexnet_training_seed_10	.051
222	alexnet_training_seed_05	.051
223	vit_base_patch14_dinov2:lvd142m	.050
224	compact_resnet50_robust_IT	.049
225	alexnet_training_seed_01	.048
226	alexnet_training_seed_01_fov12	.048
227	alexnet_training_seed_03	.048
228	yudixie_resnet50_distance_rotation_0_240908	.047
229	alexnet_training_seed_02	.047
230	alexnet_training_seed_01_fov16	.046
231	yudixie_resnet18_distance_translation_0_240719	.046
232	alexnet_training_seed_04	.045
233	briaai_rmbg_1_4	.045
234	alexnet_training_seed_07	.045
235	alexnet_training_seed_01_fov4	.044
236	compact_cornets_V4	.042
237	alexnet_training_seed_06	.041
238	compact_cornets_IT	.041
239	yudixie_resnet50_distance_translation_rotation_0_240908	.040
240	yudixie_resnet50_distance_translation_0_240908	.040
241	yudixie_resnet50_distance_reg_0_240908	.035
242	yudixie_resnet18_rotation_reg_0_240719	.032
243	compact_resnet50_V4	.031
244	deit_small_imagenet_1_seed-0	.029
245	yudixie_resnet50_random_0_240908	.029
246	mobilevit_small	.029
247	yudixie_resnet18_translation_rotation_0_240719	.028
248	yolos_tiny	.025
249	yudixie_resnet50_translation_rotation_0_240908	.024
250	yudixie_resnet18_random_0_240719	.023
251	hmax	.022
252	compact_resnet50_robust_V4	.019
253	yudixie_resnet50_rotation_reg_0_240908	.013
254	resnet_50_v1_spiking_l3	.009
255	yudixie_resnet18_translation_reg_0_240719	.009
256	compact_vgg19_V4	.003
257	yudixie_resnet50_translation_reg_0_240908	.003
258	omnivore_swinB	.000
259	omnivore_swinS	.000
260	SimVP
261	antialiased-rnext101_32x8d
262	MIM
263	TAU
264	PredRNN
265	ConvLSTM

Benchmark bibtex

None

Ceiling

0.68.

Note that scores are relative to this ceiling.

Data: Hebart2023

Metric: match