Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Bracci2019.anteriorVTC-rdm")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet34_imagenet_full	.411
2	mobilenet_v2_1_0_128	.402
3	ReAlnet04_cornet	.395
4	ReAlnet05_cornet	.392
5	ReAlnet01_cornet	.391
6	ReAlnet06_cornet	.391
7	ReAlnet03_cornet	.390
8	ReAlnet07_cornet	.389
9	resnet34_ecoset_full	.389
10	ReAlnet05	.388
11	ReAlnet03	.387
12	shufflenet_v2_x1_0	.385
13	ReAlnet10_cornet	.384
14	ReAlnet09_cornet	.383
15	ReAlnet01	.383
16	resnet18_imagenet21kP	.382
17	ReAlnet04	.382
18	resnet18_ecoset_full	.381
19	ReAlnet08_cornet	.378
20	mobilenet_v2_0_5_192	.378
21	ReAlnet09	.377
22	ReAlnet02	.373
23	ReAlnet06	.373
24	ReAlnet02_cornet	.371
25	VOneCORnet-S	.371
26	mobilenet_v2_0_75_160	.370
27	mobilenet_v2_1_3_224	.368
28	ReAlnet10	.368
29	resnet18_imagenet_full	.367
30	resnet-18_test_m	.366
31	mobilenet_v2_0_75_192	.365
32	BiT-S-R101x1	.360
33	AdvProp_efficientnet-b4	.358
34	ReAlnet07	.355
35	efficientnet-b7	.349
36	AdvProp_efficientnet-b2	.348
37	AT_efficientnet-b2	.348
38	mobilenet_v2_1_0_160	.347
39	ReAlnet08	.346
40	voneresnet-50-non_stochastic	.337
41	effnetb1_272x240	.337
42	resnet50_robust_l2_eps3	.336
43	convnext_tiny:in12k_ft_in1k	.332
44	resnet50_robust_l2_eps1	.328
45	AdvProp_efficientnet-b8	.328
46	resnet50_ecoset_full	.327
47	BiT-S-R50x1	.327
48	efficientnet_b0_imagenet_full	.327
49	mobilenet_v2_0_75_224	.327
50	convnext_femto_ols:d1_in1k	.326
51	convnext_large_imagenet_full_seed-0	.322
52	voneresnet-50-robust	.320
53	voneresnet-50	.320
54	resnet50_imagenet_full	.317
55	mobilenet_v2_1_0_192	.313
56	tv_efficientnet-b1	.312
57	vgg_19	.311
58	AdvProp_efficientnet-b6	.309
59	imagenet_l2_3_0	.308
60	yolos_tiny	.307
61	resnet50-barlow	.306
62	convnext_large:fb_in22k_ft_in1k	.305
63	resnet50-vicregl0p9	.301
64	convnext_base_imagenet_full_seed-0	.299
65	convnext_tiny_imagenet_full_seed-0	.295
66	convnext_small_imagenet_full_seed-0	.295
67	resnet50-SIN	.289
68	efficientnet_b0	.289
69	efficientnet_b1_imagenet_full	.289
70	vgg_16	.288
71	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.286
72	resnet152_ecoset_full	.282
73	AdvProp_efficientnet-b7	.281
74	resnet50-vicregl0p75	.279
75	yudixie_resnet18_distance_reg_0_240719	.278
76	resnet101_ecoset_full	.277
77	resnet50_imagenet_100_seed-0	.277
78	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.277
79	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.275
80	resnet101_imagenet_full	.274
81	custom_model_cv_18_dagger_408	.274
82	densenet-121	.270
83	yudixie_resnet18_distance_translation_0_240719	.270
84	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.270
85	resnet50-vicreg	.269
86	Res2Net50_26w_4s	.267
87	vit_large_patch14_clip_224:laion2b_ft_in1k	.266
88	mobilenet_v2_1_0_224	.265
89	resnet50-moclr8deg	.265
90	AlexNet_SIN	.265
91	cvt_cvt-21-384-in1k_4_LucyV4	.265
92	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.265
93	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.264
94	yudixie_resnet18_translation_rotation_0_240719	.264
95	convnext_tiny_sup	.263
96	xception	.262
97	resnet-50-robust	.262
98	yudixie_resnet18_distance_rotation_0_240719	.262
99	mobilenet_v2_0_5_224	.262
100	BiT-S-R50x3	.261
101	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.260
102	efficientnet_b2_imagenet_full	.257
103	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.256
104	artResNet18_1	.256
105	alexnet_ks_torevert	.255
106	resnet50-SIN_IN	.255
107	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.255
108	yudixie_resnet18_distance_translation_rotation_0_240719	.254
109	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.254
110	convnext_base:clip_laiona_augreg_ft_in1k_384	.253
111	yudixie_resnet50_distance_rotation_0_240908	.253
112	vit_large_patch14_clip_224:openai_ft_in1k	.251
113	convnext_xlarge:fb_in22k_ft_in1k	.250
114	nasnet_mobile	.248
115	vit_base_patch16_clip_224:openai_ft_in1k	.247
116	yudixie_resnet18_translation_reg_0_240719	.247
117	resnet152_imagenet_full	.247
118	convnext_small_imagenet_100_seed-0	.244
119	blt_vs	.244
120	resnet_50_v1_spiking	.243
121	resnet50-sup	.243
122	resnet_50_v1	.243
123	antialiased-r50	.242
124	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.241
125	vit_relpos_base_patch16_clsgap_224:sw_in1k	.240
126	resnet50-SIN_IN_IN	.239
127	cvt_cvt-13-384-in1k_4_LucyV4	.238
128	inception_v3	.237
129	yudixie_resnet18_imagenet1kpret_0_240719	.236
130	deit_base_imagenet_full_seed-0	.236
131	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.234
132	deit_large_imagenet_full_seed-0	.234
133	cvt_cvt-13-224-in1k_4_LucyV4	.233
134	inception_v1	.232
135	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.230
136	omnivore_swinS	.230
137	resnet50-vitoimagevidnet8	.229
138	resnet50-VITO-8deg-cc	.229
139	resnet_101_v2	.228
140	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.227
141	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.227
142	resnext101_32x32d_wsl	.224
143	resnext101_32x48d_wsl	.223
144	yudixie_resnet50_translation_rotation_0_240908	.223
145	densenet-201	.223
146	deit_small_imagenet_full_seed-0	.222
147	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.220
148	yudixie_resnet18_category_class_0_240719	.215
149	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.214
150	densenet-169	.212
151	resnet50_tutorial	.210
152	resnet_50_v1_spiking_l4a	.210
153	resnet_50_v1_spiking_l4	.210
154	yudixie_resnet50_imagenet1kpret_0_240908	.210
155	mobilenet_v2_1_4_224	.210
156	mobilenet_v2_1-4_224_pytorch	.209
157	omnivore_swinB	.205
158	yudixie_resnet18_object_class_0_240719	.203
159	vit_large_patch14_clip_336:laion2b_ft_in1k	.201
160	BiT-S-R101x3	.198
161	focalnet_tiny_lrf_in1k	.193
162	yudixie_resnet18_rotation_reg_0_240719	.188
163	cvt_cvt-21-224-in1k_4_LucyV4	.188
164	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.181
165	yudixie_resnet50_distance_translation_0_240908	.180
166	yudixie_resnet50_rotation_reg_0_240908	.173
167	resnet_50_v2	.165
168	BiT-S-R152x2	.163
169	yudixie_resnet50_category_class_0_240908	.157
170	deit_small_imagenet_100_seed-0	.157
171	resnext101_32x8d_wsl	.145
172	yudixie_resnet50_object_class_0_240908	.139
173	briaai_rmbg_1_4	.139
174	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.139
175	yudixie_resnet50_distance_translation_rotation_0_240908	.135
176	yudixie_resnet50_translation_reg_0_240908	.129
177	ViT_L_32_imagenet1k	.125
178	resnet50_imagenet_10_seed-0	.118
179	convnext_small_imagenet_10_seed-0	.117
180	resnet_50_v1_spiking_l3	.108
181	resnet50_primary_visual_cortex	.103
182	resnet-152_v2_pytorch	.097
183	deit_small_imagenet_10_seed-0	.095
184	yudixie_resnet50_distance_reg_0_240908	.083
185	deit_small_imagenet_1_seed-0	.068
186	alexnet_training_seed_02	.060
187	resnet50_imagenet_1_seed-0	.059
188	alexnet_training_seed_04	.059
189	alexnet_training_seed_03	.056
190	convnext_small_imagenet_1_seed-0	.055
191	alexnet_training_seed_09	.048
192	alexnet_training_seed_01	.048
193	alexnet_training_seed_05	.046
194	alexnet_training_seed_10	.042
195	alexnet_training_seed_07	.039
196	alexnet_training_seed_06	.039
197	alexnet_training_seed_08	.033
198	yudixie_resnet50_random_0_240908	.029
199	yudixie_resnet18_random_0_240719	.027
200	hmax	-0.007
201	SimVP
202	pnasnet_large
203	BiT-S-R152x4
204	grcnn_109
205	resnet_152_v1
206	resnext101_32x16d_wsl
207	PredRNN
208	densenet_201_pytorch
209	inception_v3_pytorch
210	TAU
211	resnet_152_v2
212	vonegrcnn_62e_nobn
213	nasnet_large
214	grcnn
215	inception_v4
216	antialiased-rnext101_32x8d
217	resnet_101_v1
218	MIM
219	resnet50_eMMCR_Vanilla
220	antialias-resnet152
221	vonegrcnn_52e_full
222	pnasnet_large_pytorch
223	vonegrcnn_47e
224	resnet_SIN_IN_FT_IN
225	ConvLSTM
226	bp_resnet50_julios
227	regnet_y_400mf

Benchmark bibtex

None

Ceiling

Not available

Data: Bracci2019.anteriorVTC

Metric: rdm