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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Sanghavi2020.V4-pls")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	compact_resnet50_robust_V4	.675
2	custom_model_cv_18_dagger_408	.669
3	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.664
4	AdvProp_efficientnet-b4	.663
5	densenet-169-keras	.663
6	densenet-121-keras	.662
7	resnet50	.662
8	ReAlnet07_cornet	.661
9	ReAlnet08_cornet	.661
10	ReAlnet02_cornet	.660
11	compact_resnet50_V4	.659
12	ReAlnet10_cornet	.658
13	yudixie_resnet50_imagenet1kpret_0_240908	.656
14	resnet_50_v1	.656
15	resnet50-sup	.656
16	resnet_50_v1_spiking	.656
17	resnet_50_v1_spiking_l4	.656
18	resnet_50_v1_spiking_l4a	.656
19	resnet50_tutorial	.656
20	resnet_50_v1_spiking_l3	.656
21	yudixie_resnet50_imagenet1kpret_0_240312	.656
22	ReAlnet03_cornet	.656
23	ReAlnet05_cornet	.656
24	efficientnet_b1_imagenet_full	.656
25	ReAlnet04_cornet	.655
26	densenet-201-keras	.655
27	ReAlnet09_cornet	.655
28	antialiased-r50	.655
29	antialiased-rnext101_32x8d	.654
30	resnet50_random_linf8_perturb	.653
31	efficientnet_b2_imagenet_full	.653
32	SWSL_resnet50	.653
33	resnet34_ecoset_full	.653
34	focalnet_tiny_lrf_in1k	.653
35	ReAlnet06_cornet	.652
36	resnet50_random_l2_perturb	.652
37	resnet50-SIN_IN_IN	.651
38	resnet_SIN_IN_FT_IN	.651
39	resnet18-colorization	.651
40	ReAlnet01_cornet	.651
41	resnet-50_v1-tf	.650
42	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.650
43	inception_v1-tf	.649
44	resnet50-SIN_IN	.648
45	resnet-101_v1-tf	.648
46	resnet50_linf_4_robust	.648
47	AdvProp_efficientnet-b8	.647
48	effnetv2m_custom384	.647
49	xception-keras	.647
50	ReAlnet02_ALL	.647
51	resnext101_32x8d_wsl	.646
52	ReAlnet01_ALL	.646
53	ReAlnet08_ALL	.646
54	ReAlnet09_ALL	.646
55	resnet-152_v1-tf	.646
56	vgg_16	.646
57	vonegrcnn_62e_nobn	.646
58	ReAlnet07_ALL	.646
59	resnet-18-LC_w_sh_100_iter_conv_init_m	.646
60	ReAlnet06_ALL	.646
61	vgg-16-keras	.646
62	vit_base_patch16_clip_224:openai_ft_in1k	.646
63	vonegrcnn_52e_full	.645
64	resnext101_32x16d_wsl	.645
65	resnet152_imagenet_full	.645
66	vision_transformer_vit_large_patch16_224	.645
67	ReAlnet04_ALL	.645
68	deit_large_imagenet_full_seed-0	.645
69	ReAlnet03_ALL	.645
70	BiT-M-R101x3	.645
71	vonegrcnn_47e	.645
72	ReAlnet10_ALL	.644
73	resnet-50_v2-tf	.644
74	ReAlnet05_ALL	.644
75	resnet50_ewconplus_wzc	.644
76	resnet152_ecoset_full	.644
77	resnet-18-LC_d_w_sh_1x1_conv_init_m	.643
78	effnetb1_272x240	.643
79	AdvProp_efficientnet-b6	.643
80	resnet50_imagenet_100_seed-0	.643
81	BiT-S-R101x3	.643
82	omnivore_swinB	.642
83	Res2Net50_26w_4s	.642
84	resnet101_ecoset_full	.642
85	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.642
86	AT_efficientnet-b7	.642
87	resnet18_imagenet_full	.641
88	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.641
89	voneresnet-50	.641
90	resnet50_l2_3_robust	.641
91	0.5x_resnet-18_LC_w_sh_10_iter	.640
92	compact_vgg19_V4	.640
93	AdvProp_efficientnet-b7	.640
94	resnet18_imagenet21kP	.640
95	yudixie_resnet18_imagenet1kpret_0_240719	.640
96	inception_resnet_v2	.639
97	resnet18_ecoset_full	.639
98	konkle_alexnetgn_ipcl_ref01_primary_model	.639
99	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.639
100	inception_v2-tf	.639
101	voneresnet-50-robust	.638
102	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.638
103	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.638
104	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.638
105	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.638
106	AdvProp_efficientnet-b2	.638
107	mobilenet_v1_1.0_160	.638
108	convnext_tiny_imagenet_full_seed-0	.638
109	AdvProp_efficientnet-b0	.638
110	resnext101_32x48d_wsl	.637
111	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.637
112	efficientnet_b0_imagenet_full	.637
113	efficientnet_b0	.636
114	AT_efficientnet-b2	.636
115	mobilenet_v2_1_4_224	.636
116	resnet101_imagenet_full	.636
117	BiT-M-R152x2	.636
118	texture_shape_resnet50_trained_on_SIN	.636
119	resnet34_imagenet_full	.636
120	resnet-18-LC_w_sh_100_iter_m	.636
121	SWSL_resnext101_32x8d	.636
122	resnet-18-LC_w_sh_1_iter_m	.636
123	convnext_small_imagenet_full_seed-0	.636
124	omnivore_swinS	.635
125	resnet50_imagenet_full	.635
126	convnext_base_imagenet_full_seed-0	.635
127	resnet-152_v2-tf	.635
128	antialias-resnet152	.634
129	CORnet-S	.634
130	compact_resnet50_IT	.634
131	cv_18_dagger_408_pretrained	.634
132	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.634
133	BiT-S-R50x3	.634
134	omnivore_swinT	.634
135	resnet50_robust_l2_eps1	.633
136	BiT-M-R152x4	.633
137	resnet101	.633
138	vit_relpos_base_patch16_clsgap_224:sw_in1k	.633
139	resnet-101_v2-tf	.632
140	voneresnet-50-non_stochastic	.632
141	mobilenet_v1_1.0_224	.632
142	CLIP-RN50	.632
143	resnet-18	.632
144	resnet-18-LC_w_sh_1_iter_conv_init_m	.632
145	FrankRobWobv0	.632
146	resnet-18-LC_w_sh_10_iter_conv_init_m	.631
147	convnext_tiny_sup	.631
148	grcnn_v2_text_noise	.631
149	VOneCORnet-S	.631
150	resnet50_moco_v2	.631
151	mobilenet_v2_1.0_128-tf	.631
152	convnext_femto_ols:d1_in1k	.631
153	BiT-S-R152x2	.631
154	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.630
155	nasnet_mobile	.630
156	BiT-M-R101x1	.630
157	resnext101_32x32d_wsl	.629
158	mobilenet_v2_1_3_224	.629
159	AT_efficientnet-b4	.629
160	resnet50-vicreg	.629
161	alexnet	.629
162	densenet-169	.629
163	regnet_y_400mf	.628
164	barlow-twins-resnet50	.627
165	inception_v3-tf	.627
166	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.627
167	deit_small_imagenet_full_seed-0	.627
168	nasnet_large-tf	.627
169	densenet-201	.627
170	grcnn_109	.626
171	resnet50_ecoset_full	.626
172	resnet50-vicregl0p9	.626
173	BiT-M-R50x1	.626
174	resnet-18_test_m	.625
175	resnet18-local_aggregation	.625
176	mobilenet_v2_1.3_224-tf	.625
177	cvt_cvt-21-384-in1k_4_LucyV4	.625
178	cvt_cvt-13-384-in1k_4_LucyV4	.623
179	resnet50-vicregl0p75	.623
180	resnet50-VITO-8deg-cc	.623
181	pnasnet_large-tf	.623
182	0.5x_resnet-18_LC_w_sh_100_iter	.623
183	grcnn	.623
184	resnet_50_v2	.623
185	tv_efficientnet-b1	.623
186	resnet50-barlow	.622
187	mobilenet_v2_1_0_128	.622
188	alexnet_random_linf8_perturb	.622
189	densenet-121	.622
190	vgg_19	.622
191	inception_v3	.622
192	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.622
193	mobilenet_v1_0.75_128	.621
194	mobilenet_v2_0_75_224	.621
195	RN50	.621
196	convnext_tiny:in12k_ft_in1k	.621
197	alexnet_random_l2_3_perturb	.621
198	deit_base_imagenet_full_seed-0	.621
199	vonealexnet_gaussian_noise_std4_fixed	.621
200	ViT-B/32	.621
201	CLIP_resnet50	.620
202	CLIP_resnet50_float32	.620
203	CLIP_ViT-B_32	.620
204	cornet_s	.619
205	mobilenet_v2_1.4_224-tf	.619
206	mobilenet_v2_1_0_192	.619
207	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.619
208	mobilenet_v2_1.0_160-tf	.619
209	fixres_resnext101_32x48d_wsl	.619
210	cvt_cvt-13-224-in1k_4_LucyV4	.618
211	mobilenet_v1_1.0_192	.618
212	compact_resnet50_robust_IT	.618
213	mobilenet_v2_0.75_224-tf	.618
214	mobilenet_v1_0.75_160	.618
215	mobilenet_v2_1_0_224	.618
216	resnet50-moclr8deg	.618
217	compact_cornets_V4	.617
218	mobilenet_v2_0_75_192	.617
219	grcnn_robust_v1	.617
220	convnext_large_imagenet_full_seed-0	.617
221	resnet18-instance_recognition	.617
222	BiT-S-R101x1	.617
223	BiT-S-R50x1	.617
224	alexnet	.617
225	alexnet-baseline	.617
226	alexnet	.617
227	alexnet	.617
228	alexnet	.617
229	alexnet	.617
230	alexnet	.617
231	alexnet	.617
232	alexnet	.617
233	alexnet_ks_torevert	.617
234	convnext_xlarge:fb_in22k_ft_in1k	.617
235	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.616
236	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.616
237	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.616
238	convnext_base:clip_laiona_augreg_ft_in1k_384	.615
239	vgg-19-keras	.615
240	BiT-M-R50x3	.615
241	resnet50-simclr-vissl	.614
242	mobilenet_v2_1.0_192-tf	.614
243	mobilenet_v1_1.0_128	.614
244	0.5x_resnet-18_LC_w_sh_1_iter	.614
245	imagenet_l2_3_0	.614
246	0.5x_resnet-18	.614
247	vit_large_patch14_clip_224:openai_ft_in1k	.613
248	mobilenet_v1_0.75_192	.613
249	resnet50-vitoimagevidnet8	.613
250	resnet50_robust_l2_eps3	.612
251	yudixie_resnet50_object_class_0_240908	.612
252	mobilenet_v1_0.75_224	.612
253	resnet50_byol	.612
254	resnet50_byol	.612
255	resnet50-SIN	.612
256	mobilenet_v2_0.75_192-tf	.611
257	cvt_cvt-21-224-in1k_4_LucyV4	.609
258	nasnet_mobile-tf	.609
259	efficientnet-b7	.609
260	mobilenet_v2_0.75_160-tf	.609
261	mobilenet_v2_1.0_224-tf	.609
262	inception_v4-tf	.608
263	mobilenet_v2_1_0_160	.608
264	mobilenet_v2_0.75_128	.608
265	squeezenet1_0	.608
266	BiT-S-R152x4	.608
267	yudixie_resnet50_translation_reg_0_240908	.607
268	yudixie_resnet50_category_class_0_240908	.606
269	CORnet-Z	.606
270	resnet-18-LC_1st_conv_m	.605
271	mobilenet_v2_0_5_192	.605
272	resnet18-relative_position	.604
273	resnet-18-LC_m	.604
274	mobilenet_v1_0.5_192	.604
275	resnet-34	.604
276	vit_large_patch14_clip_224:laion2b_ft_in1k	.603
277	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.603
278	mobilenet_v2_0_5_224	.603
279	shufflenet_v2_x1_0	.602
280	squeezenet1_1	.602
281	RN50	.602
282	inception_v1	.602
283	resnet-18-LC_w_sh_10_iter_m	.602
284	resnet18-contrastive_multiview	.601
285	mobilenet_v2_0.5_224-tf	.601
286	mobilenet_v2_0.5_128	.601
287	yudixie_resnet50_distance_translation_0_240908	.600
288	mobilenet_v1_0.25_224	.600
289	mobilenet_v1_0.5_224	.599
290	convnext_small_imagenet_100_seed-0	.599
291	resnet50_linf_8_robust	.598
292	mobilenet_v2_0_75_160	.598
293	yudixie_resnet50_translation_rotation_0_240908	.597
294	yudixie_resnet50_distance_reg_0_240908	.597
295	resnet18-supervised	.597
296	yudixie_resnet50_distance_translation_rotation_0_240908	.597
297	yudixie_resnet50_distance_rotation_0_240908	.596
298	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.596
299	mobilenet_v2_1.0_96	.595
300	vit_large_patch14_clip_336:laion2b_ft_in1k	.594
301	mobilenet_v2_0.5_192-tf	.594
302	convnext_large:fb_in22k_ft_in1k	.594
303	mobilenet_v1_0.5_160	.593
304	0.5x_resnet-18_LC	.593
305	resnet-18-LC_conv_init_m	.592
306	mobilenet_v1_0.5_128	.589
307	mobilenet_v2_0.35_224	.588
308	alexnet_reduced_aliasing_early_checkpoint	.588
309	resnet18-deepcluster	.587
310	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.585
311	resnet50_primary_visual_cortex	.585
312	mobilenet_v2_0.5_160	.585
313	resnet50_simclr	.585
314	r3m_resnet18	.584
315	ReAlnet10	.583
316	r3m_resnet34	.581
317	mobilenet_v2_0.35_192	.581
318	ReAlnet02	.579
319	yudixie_resnet18_category_class_0_240719	.579
320	ReAlnet08	.579
321	alexnet_early_checkpoint	.579
322	mobilenet_v2_0.75_96	.578
323	ReAlnet07	.577
324	texture_shape_alexnet_trained_on_SIN	.575
325	ReAlnet03	.574
326	yudixie_resnet50_rotation_reg_0_240908	.573
327	AlexNet_SIN	.573
328	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.573
329	ReAlnet06	.573
330	imagenet_l2_10_0	.572
331	ReAlnet01	.572
332	ReAlnet09	.570
333	ReAlnet04	.569
334	mobilenet_v1_0.25_192	.569
335	ReAlnet05	.568
336	mobilenet_v2_0.5_96	.566
337	yudixie_resnet18_object_class_0_240719	.565
338	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.562
339	alexnet_l2_3_robust	.562
340	yolos_tiny	.561
341	mobilenet_v1_0.25_160	.561
342	mobilenet_v2_0.35_160	.559
343	yudixie_resnet18_distance_translation_rotation_0_240719	.559
344	compact_cornets_IT	.556
345	resnet50	.554
346	resnet-50-pytorch	.552
347	resnet-50-robust	.552
348	r3m_resnet50	.552
349	vggface	.550
350	yudixie_resnet18_translation_rotation_0_240719	.549
351	yudixie_resnet18_distance_reg_0_240719	.548
352	yudixie_resnet18_distance_rotation_0_240719	.545
353	yudixie_resnet18_translation_reg_0_240719	.545
354	artResNet18_1	.544
355	ViT_L_32_imagenet1k	.543
356	r3m_resnet50_nocrop	.539
357	compact_vgg19_IT	.539
358	mobilenet_v2_0.35_96	.536
359	yudixie_resnet18_rotation_reg_0_240719	.535
360	yudixie_resnet18_distance_translation_0_240719	.534
361	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.534
362	deit_small_imagenet_100_seed-0	.533
363	mobilenet_v1_0.25_128	.520
364	my-model	.519
365	mobilenet_v2_0.35_128	.514
366	resnet50_imagenet_10_seed-0	.514
367	mobilenet_v2_1-4_224_pytorch	.512
368	prednet	.502
369	resnet18-depth_prediction	.498
370	resnet50-cifar	.471
371	alexnet_linf_8_robust	.464
372	alexnet_robust_correct	.448
373	resnet18-contrastive_predictive	.443
374	resnet18-autoencoder	.412
375	alexnet_training_seed_02	.411
376	briaai_rmbg_1_4	.409
377	v1-pyr-nodown	.407
378	resnet-152_v2_pytorch	.403
379	resnet50-meshes-lt-100-original-pretrained	.403
380	alexnet_training_seed_06	.400
381	alexnet_training_seed_09	.394
382	CORnetZ_CIFAR10	.392
383	alexnet_training_seed_01	.390
384	alexnet_training_seed_03	.388
385	resnet50-meshes-lt-100-original-scratch	.388
386	alexnet_training_seed_07	.387
387	alexnet_training_seed_08	.386
388	alexnet_training_seed_10	.385
389	alexnet_training_seed_05	.384
390	resnet50_pretrained_with_retinal_waves	.382
391	CORnetZ_CIFAR10_bs32_20_04	.382
392	alexnet_training_seed_04	.378
393	yudixie_resnet50_random_0_240908	.372
394	mobilevit_small	.371
395	resnet-18_untrained	.369
396	resnet50_FractalDB	.369
397	resnet-50_untrained	.368
398	resnet-50x2_untrained	.361
399	yudixie_resnet18_random_0_240719	.356
400	resnet50_imagenet_1_seed-0	.335
401	resnet-18-LC_untrained	.303
402	deit_small_imagenet_10_seed-0	.175
403	convnext_small_imagenet_10_seed-0	.136
404	fitvid_trained_on_physion	.132
405	deit_small_imagenet_1_seed-0	.114
406	convnext_small_imagenet_1_seed-0	.104
407	pixels	.085
408	my-model	.085
409	resnet18-simclr
410	openclip
411	resnet50_ImageNet
412	resnet_152_v1
413	ConvLSTM
414	PredRNN
415	SimVP
416	TAU
417	MIM
418	hmax
419	densenet_201_pytorch
420	pnasnet_large_pytorch
421	inception_v3_pytorch
422	inception_v4
423	xception
424	blt_vs
425	pnasnet_large
426	nasnet_large
427	resnet_101_v2
428	convnext_xxlarge:clip_laion2b_soup_ft_in1k
429	vonegrcnn_62e_nobn
430	resnet_152_v2
431	resnet_101_v1
432	vonegrcnn_47e
433	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k
434	vonegrcnn_52e_full
435	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k

Benchmark bibtex

@misc{Sanghavi_DiCarlo_2021,
  title={Sanghavi2020},
  url={osf.io/chwdk},
  DOI={10.17605/OSF.IO/CHWDK},
  publisher={OSF},
  author={Sanghavi, Sachi and DiCarlo, James J},
  year={2021},
  month={Nov}
}

Ceiling

0.89.

Note that scores are relative to this ceiling.

Data: Sanghavi2020.V4

5760 stimuli recordings from 47 sites in V4

Metric: pls