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
.700
9
.695
10
.657
11
.655
12
.654
13
.650
14
.649
15
.649
16
.637
17
.631
18
.613
19
.609
20
.605
21
.599
22
.599
23
.599
24
.595
25
.594
26
.588
27
.586
28
.574
29
.571
30
.571
31
.568
32
.566
33
.566
34
.561
35
.559
36
.557
37
.556
38
.551
39
.547
40
.546
41
.546
42
.546
43
.544
44
.544
45
.540
46
.521
47
.521
48
.515
49
.514
50
.512
51
.492
52
.492
53
.485
54
.482
55
.481
56
.476
57
.475
58
.466
59
.466
60
.464
61
.464
62
.458
63
.455
64
.450
65
.450
66
.450
67
.448
68
.445
69
.444
70
.441
71
.440
72
.440
73
.438
74
.434
75
.431
76
.430
77
.427
78
.427
79
.426
80
.426
81
.426
82
.425
83
.424
84
.422
85
.422
86
.421
87
.420
88
.420
89
.419
90
.419
91
.419
92
.417
93
.416
94
.416
95
.416
96
.415
97
.414
98
.412
99
.410
100
.410
101
.410
102
.410
103
.410
104
.410
105
.409
106
.407
107
.407
108
.407
109
.407
110
.407
111
.406
112
.404
113
.404
114
.404
115
.403
116
.401
117
.401
118
.401
119
.401
120
.400
121
.400
122
.399
123
.399
124
.399
125
.399
126
.398
127
.398
128
.398
129
.398
130
.398
131
.395
132
.395
133
.395
134
.393
135
.393
136
.390
137
.388
138
.386
139
.386
140
.386
141
.385
142
.385
143
.384
144
.384
145
.383
146
.383
147
.381
148
.381
149
.381
150
.379
151
.379
152
.378
153
.378
154
.378
155
.375
156
.374
157
.372
158
.371
159
.371
160
.371
161
.371
162
.371
163
.371
164
.370
165
.370
166
.369
167
.367
168
.366
169
.366
170
.366
171
.366
172
.365
173
.364
174
.361
175
.360
176
.359
177
.359
178
.359
179
.356
180
.356
181
.355
182
.355
183
.354
184
.354
185
.352
186
.352
187
.352
188
.352
189
.351
190
.351
191
.351
192
.350
193
.347
194
.346
195
.346
196
.346
197
.345
198
.344
199
.344
200
.343
201
.341
202
.341
203
.341
204
.340
205
.338
206
.338
207
.335
208
.331
209
.331
210
.329
211
.329
212
.328
213
.325
214
.325
215
.321
216
.315
217
.315
218
.312
219
.312
220
.311
221
.309
222
.306
223
.306
224
.305
225
.305
226
.302
227
.302
228
.301
229
.297
230
.290
231
.289
232
.287
233
.282
234
.279
235
.279
236
.279
237
.279
238
.279
239
.265
240
.265
241
.263
242
.255
243
.254
244
.253
245
.251
246
.241
247
.184
248
.160
249
.087
250
.084
251
.083
252
.072
253
.070
254
.070
255
.068
256
.066
257
.065
258
.065
259
.065
260
.064
261
.062
262
.062
263
.062
264
.062
265
.062
266
.062
267
.062
268
.062
269
.062
270
.062
271
.062
272
.061
273
.059
274
.058
275
.058
276
.055
277
.050
278
.045
279
.044
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
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

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