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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	ReAlnet06_ALL	.387
13	ReAlnet03_ALL	.387
14	shufflenet_v2_x1_0	.385
15	ReAlnet10_cornet	.384
16	ReAlnet09_cornet	.383
17	ReAlnet01	.383
18	resnet18_imagenet21kP	.382
19	ReAlnet02_ALL	.382
20	ReAlnet04	.382
21	ReAlnet05_ALL	.382
22	resnet18_ecoset_full	.381
23	ReAlnet01_ALL	.380
24	ReAlnet04_ALL	.380
25	ReAlnet08_cornet	.378
26	mobilenet_v2_0_5_192	.378
27	ReAlnet10_ALL	.377
28	ReAlnet09	.377
29	ReAlnet02	.373
30	ReAlnet08_ALL	.373
31	ReAlnet06	.373
32	ReAlnet09_ALL	.373
33	ReAlnet07_ALL	.373
34	ReAlnet02_cornet	.371
35	VOneCORnet-S	.371
36	mobilenet_v2_0_75_160	.370
37	mobilenet_v2_1_3_224	.368
38	ReAlnet10	.368
39	resnet18_imagenet_full	.367
40	resnet-18_test_m	.366
41	mobilenet_v2_0_75_192	.365
42	BiT-S-R101x1	.360
43	AdvProp_efficientnet-b4	.358
44	ReAlnet07	.355
45	efficientnet-b7	.349
46	AdvProp_efficientnet-b2	.348
47	AT_efficientnet-b2	.348
48	mobilenet_v2_1_0_160	.347
49	ReAlnet08	.346
50	resnet50_ewconplus_wzc	.343
51	voneresnet-50-non_stochastic	.337
52	effnetb1_272x240	.337
53	resnet50_robust_l2_eps3	.336
54	convnext_tiny:in12k_ft_in1k	.332
55	resnet50_robust_l2_eps1	.328
56	AdvProp_efficientnet-b8	.328
57	resnet50_ecoset_full	.327
58	BiT-S-R50x1	.327
59	efficientnet_b0_imagenet_full	.327
60	mobilenet_v2_0_75_224	.327
61	convnext_femto_ols:d1_in1k	.326
62	convnext_large_imagenet_full_seed-0	.322
63	voneresnet-50-robust	.320
64	voneresnet-50	.320
65	resnet50_imagenet_full	.317
66	mobilenet_v2_1_0_192	.313
67	tv_efficientnet-b1	.312
68	vgg_19	.311
69	AdvProp_efficientnet-b6	.309
70	imagenet_l2_3_0	.308
71	yolos_tiny	.307
72	resnet50-barlow	.306
73	convnext_large:fb_in22k_ft_in1k	.305
74	resnet50-vicregl0p9	.301
75	convnext_base_imagenet_full_seed-0	.299
76	convnext_tiny_imagenet_full_seed-0	.295
77	convnext_small_imagenet_full_seed-0	.295
78	resnet50-SIN	.289
79	efficientnet_b0	.289
80	efficientnet_b1_imagenet_full	.289
81	vgg_16	.288
82	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.286
83	resnet152_ecoset_full	.282
84	AdvProp_efficientnet-b7	.281
85	resnet50-vicregl0p75	.279
86	yudixie_resnet18_distance_reg_0_240719	.278
87	resnet101_ecoset_full	.277
88	resnet50_imagenet_100_seed-0	.277
89	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.277
90	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.275
91	resnet101_imagenet_full	.274
92	custom_model_cv_18_dagger_408	.274
93	densenet-121	.270
94	yudixie_resnet18_distance_translation_0_240719	.270
95	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.270
96	resnet50-vicreg	.269
97	Res2Net50_26w_4s	.267
98	vit_large_patch14_clip_224:laion2b_ft_in1k	.266
99	mobilenet_v2_1_0_224	.265
100	resnet50-moclr8deg	.265
101	AlexNet_SIN	.265
102	cvt_cvt-21-384-in1k_4_LucyV4	.265
103	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.265
104	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.264
105	yudixie_resnet18_translation_rotation_0_240719	.264
106	convnext_tiny_sup	.263
107	xception	.262
108	resnet-50-robust	.262
109	yudixie_resnet18_distance_rotation_0_240719	.262
110	mobilenet_v2_0_5_224	.262
111	BiT-S-R50x3	.261
112	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.260
113	efficientnet_b2_imagenet_full	.257
114	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.256
115	artResNet18_1	.256
116	alexnet_ks_torevert	.255
117	resnet50-SIN_IN	.255
118	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.255
119	yudixie_resnet18_distance_translation_rotation_0_240719	.254
120	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.254
121	convnext_base:clip_laiona_augreg_ft_in1k_384	.253
122	yudixie_resnet50_distance_rotation_0_240908	.253
123	vit_large_patch14_clip_224:openai_ft_in1k	.251
124	convnext_xlarge:fb_in22k_ft_in1k	.250
125	nasnet_mobile	.248
126	vit_base_patch16_clip_224:openai_ft_in1k	.247
127	yudixie_resnet18_translation_reg_0_240719	.247
128	resnet152_imagenet_full	.247
129	convnext_small_imagenet_100_seed-0	.244
130	blt_vs	.244
131	resnet_50_v1_spiking	.243
132	resnet_50_v1	.243
133	resnet50-sup	.243
134	antialiased-r50	.242
135	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.241
136	vit_relpos_base_patch16_clsgap_224:sw_in1k	.240
137	resnet50-SIN_IN_IN	.239
138	cvt_cvt-13-384-in1k_4_LucyV4	.238
139	inception_v3	.237
140	yudixie_resnet18_imagenet1kpret_0_240719	.236
141	deit_base_imagenet_full_seed-0	.236
142	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.234
143	deit_large_imagenet_full_seed-0	.234
144	cvt_cvt-13-224-in1k_4_LucyV4	.233
145	inception_v1	.232
146	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.230
147	omnivore_swinS	.230
148	resnet50-VITO-8deg-cc	.229
149	resnet50-vitoimagevidnet8	.229
150	resnet_101_v2	.228
151	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.227
152	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.227
153	resnext101_32x32d_wsl	.224
154	resnext101_32x48d_wsl	.223
155	yudixie_resnet50_translation_rotation_0_240908	.223
156	densenet-201	.223
157	deit_small_imagenet_full_seed-0	.222
158	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.220
159	yudixie_resnet18_category_class_0_240719	.215
160	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.214
161	densenet-169	.212
162	resnet_50_v1_spiking_l4	.210
163	yudixie_resnet50_imagenet1kpret_0_240908	.210
164	resnet_50_v1_spiking_l4a	.210
165	resnet50_tutorial	.210
166	mobilenet_v2_1_4_224	.210
167	mobilenet_v2_1-4_224_pytorch	.209
168	omnivore_swinB	.205
169	yudixie_resnet18_object_class_0_240719	.203
170	vit_large_patch14_clip_336:laion2b_ft_in1k	.201
171	BiT-S-R101x3	.198
172	focalnet_tiny_lrf_in1k	.193
173	yudixie_resnet18_rotation_reg_0_240719	.188
174	cvt_cvt-21-224-in1k_4_LucyV4	.188
175	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.181
176	yudixie_resnet50_distance_translation_0_240908	.180
177	yudixie_resnet50_rotation_reg_0_240908	.173
178	resnet_50_v2	.165
179	BiT-S-R152x2	.163
180	yudixie_resnet50_category_class_0_240908	.157
181	deit_small_imagenet_100_seed-0	.157
182	resnext101_32x8d_wsl	.145
183	yudixie_resnet50_object_class_0_240908	.139
184	briaai_rmbg_1_4	.139
185	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.139
186	yudixie_resnet50_distance_translation_rotation_0_240908	.135
187	yudixie_resnet50_translation_reg_0_240908	.129
188	ViT_L_32_imagenet1k	.125
189	resnet50_imagenet_10_seed-0	.118
190	convnext_small_imagenet_10_seed-0	.117
191	resnet_50_v1_spiking_l3	.108
192	resnet50_primary_visual_cortex	.103
193	resnet-152_v2_pytorch	.097
194	deit_small_imagenet_10_seed-0	.095
195	compact_resnet50_robust_IT	.090
196	compact_resnet50_IT	.086
197	yudixie_resnet50_distance_reg_0_240908	.083
198	deit_small_imagenet_1_seed-0	.068
199	alexnet_training_seed_02	.060
200	compact_cornets_IT	.060
201	compact_vgg19_V4	.060
202	resnet50_imagenet_1_seed-0	.059
203	alexnet_training_seed_04	.059
204	compact_vgg19_IT	.058
205	alexnet_training_seed_03	.056
206	compact_resnet50_robust_V4	.056
207	convnext_small_imagenet_1_seed-0	.055
208	alexnet_training_seed_09	.048
209	alexnet_training_seed_01	.048
210	alexnet_training_seed_05	.046
211	alexnet_training_seed_10	.042
212	alexnet_training_seed_07	.039
213	alexnet_training_seed_06	.039
214	alexnet_training_seed_08	.033
215	yudixie_resnet50_random_0_240908	.029
216	yudixie_resnet18_random_0_240719	.027
217	compact_resnet50_V4	.005
218	hmax	-0.007
219	compact_cornets_V4	-0.029
220	resnet_152_v1
221	resnext101_32x16d_wsl
222	antialias-resnet152
223	antialiased-rnext101_32x8d
224	regnet_y_400mf
225	bp_resnet50_julios
226	ConvLSTM
227	SimVP
228	PredRNN
229	TAU
230	resnet50_eMMCR_Vanilla
231	MIM
232	inception_v3_pytorch
233	densenet_201_pytorch
234	pnasnet_large_pytorch
235	inception_v4
236	nasnet_large
237	pnasnet_large
238	grcnn
239	vonegrcnn_62e_nobn
240	grcnn_109
241	vonegrcnn_47e
242	vonegrcnn_52e_full
243	resnet_SIN_IN_FT_IN
244	BiT-S-R152x4
245	resnet_152_v2
246	resnet_101_v1

Benchmark bibtex

None

Ceiling

Not available

Data: Bracci2019.anteriorVTC

Metric: rdm