Sample stimuli

sample 0 sample 1 sample 2 sample 3 sample 4 sample 5 sample 6 sample 7 sample 8 sample 9

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Geirhos2021stylized-top1")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.910
2
.910
3
.786
4
.786
5
.786
6
.786
7
.748
8
.716
9
.716
10
.713
11
.708
12
.700
13
.695
14
.690
15
.672
16
.664
17
.657
18
.655
19
.654
20
.654
21
.650
22
.649
23
.649
24
.644
25
.641
26
.637
27
.631
28
.627
29
.613
30
.609
31
.605
32
.599
33
.599
34
.599
35
.595
36
.594
37
.594
38
.588
39
.586
40
.574
41
.571
42
.571
43
.568
44
.568
45
.566
46
.566
47
.566
48
.561
49
.559
50
.559
51
.557
52
.557
53
.556
54
.551
55
.547
56
.546
57
.546
58
.546
59
.544
60
.544
61
.540
62
.521
63
.521
64
.515
65
.514
66
.512
67
.509
68
.492
69
.492
70
.485
71
.482
72
.481
73
.476
74
.475
75
.466
76
.466
77
.464
78
.464
79
.458
80
.455
81
.450
82
.450
83
.450
84
.448
85
.445
86
.444
87
.441
88
.441
89
.440
90
.440
91
.438
92
.436
93
.434
94
.431
95
.430
96
.427
97
.427
98
.426
99
.426
100
.426
101
.425
102
.424
103
.422
104
.422
105
.421
106
.420
107
.420
108
.420
109
.419
110
.419
111
.419
112
.417
113
.416
114
.416
115
.416
116
.415
117
.414
118
.412
119
.410
120
.410
121
.410
122
.410
123
.410
124
.410
125
.409
126
.409
127
.409
128
.407
129
.407
130
.407
131
.407
132
.407
133
.406
134
.404
135
.404
136
.404
137
.403
138
.401
139
.401
140
.401
141
.401
142
.400
143
.400
144
.400
145
.399
146
.399
147
.399
148
.399
149
.399
150
.398
151
.398
152
.398
153
.398
154
.398
155
.395
156
.395
157
.395
158
.393
159
.393
160
.390
161
.389
162
.388
163
.386
164
.386
165
.386
166
.386
167
.386
168
.385
169
.385
170
.384
171
.384
172
.383
173
.383
174
.381
175
.381
176
.381
177
.380
178
.379
179
.379
180
.379
181
.378
182
.378
183
.378
184
.375
185
.374
186
.372
187
.371
188
.371
189
.371
190
.371
191
.371
192
.371
193
.370
194
.370
195
.370
196
.369
197
.369
198
.367
199
.367
200
.366
201
.366
202
.366
203
.366
204
.365
205
.365
206
.364
207
.361
208
.361
209
.361
210
.361
211
.361
212
.360
213
.359
214
.359
215
.359
216
.357
217
.356
218
.356
219
.356
220
.355
221
.355
222
.354
223
.354
224
.352
225
.352
226
.352
227
.352
228
.351
229
.351
230
.351
231
.350
232
.347
233
.346
234
.346
235
.346
236
.345
237
.344
238
.344
239
.343
240
.341
241
.341
242
.341
243
.340
244
.338
245
.338
246
.335
247
.334
248
.331
249
.331
250
.331
251
.329
252
.329
253
.328
254
.325
255
.325
256
.323
257
.321
258
.315
259
.315
260
.312
261
.312
262
.311
263
.309
264
.306
265
.306
266
.305
267
.305
268
.302
269
.302
270
.301
271
.297
272
.294
273
.290
274
.289
275
.287
276
.284
277
.282
278
.279
279
.279
280
.279
281
.279
282
.279
283
.265
284
.265
285
.263
286
.255
287
.254
288
.253
289
.251
290
.241
291
.184
292
.160
293
.087
294
.084
295
.083
296
.072
297
.070
298
.070
299
.068
300
.066
301
.065
302
.065
303
.065
304
.064
305
.062
306
.062
307
.062
308
.062
309
.062
310
.062
311
.062
312
.062
313
.062
314
.062
315
.059
316
.058
317
.058
318
.055
319
.050
320
.045
321
.044
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483

Benchmark bibtex

@article{geirhos2021partial,
              title={Partial success in closing the gap between human and machine vision},
              author={Geirhos, Robert and Narayanappa, Kantharaju and Mitzkus, Benjamin and Thieringer, Tizian and Bethge, Matthias and Wichmann, Felix A and Brendel, Wieland},
              journal={Advances in Neural Information Processing Systems},
              volume={34},
              year={2021},
              url={https://openreview.net/forum?id=QkljT4mrfs}
        }

Ceiling

1.00.

Note that scores are relative to this ceiling.

Data: Geirhos2021stylized

Metric: top1