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("Geirhos2021phasescrambling-top1")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.945
2
.944
3
.934
4
.933
5
.928
6
.911
7
.895
8
.895
9
.894
10
.892
11
.883
12
.881
13
.880
14
.880
15
.875
16
.873
17
.873
18
.872
19
.864
20
.856
21
.852
22
.850
23
.844
24
.836
25
.836
26
.833
27
.830
28
.825
29
.822
30
.822
31
.819
32
.819
33
.817
34
.817
35
.814
36
.809
37
.805
38
.803
39
.800
40
.791
41
.789
42
.786
43
.784
44
.781
45
.778
46
.770
47
.769
48
.767
49
.764
50
.761
51
.761
52
.758
53
.755
54
.753
55
.752
56
.750
57
.738
58
.727
59
.723
60
.719
61
.717
62
.713
63
.692
64
.691
65
.691
66
.689
67
.689
68
.689
69
.684
70
.680
71
.678
72
.678
73
.678
74
.675
75
.672
76
.670
77
.666
78
.666
79
.664
80
.661
81
.661
82
.661
83
.661
84
.659
85
.659
86
.658
87
.656
88
.656
89
.656
90
.655
91
.653
92
.653
93
.653
94
.653
95
.652
96
.652
97
.650
98
.650
99
.648
100
.648
101
.648
102
.647
103
.645
104
.645
105
.644
106
.644
107
.644
108
.641
109
.641
110
.639
111
.639
112
.639
113
.637
114
.636
115
.636
116
.636
117
.633
118
.633
119
.633
120
.633
121
.633
122
.633
123
.631
124
.630
125
.630
126
.628
127
.627
128
.627
129
.627
130
.625
131
.625
132
.623
133
.623
134
.622
135
.622
136
.620
137
.620
138
.620
139
.620
140
.620
141
.620
142
.620
143
.616
144
.616
145
.614
146
.614
147
.613
148
.613
149
.609
150
.608
151
.606
152
.606
153
.606
154
.606
155
.605
156
.602
157
.598
158
.597
159
.597
160
.597
161
.597
162
.597
163
.595
164
.595
165
.595
166
.595
167
.595
168
.594
169
.594
170
.594
171
.594
172
.594
173
.594
174
.592
175
.592
176
.589
177
.589
178
.588
179
.588
180
.584
181
.584
182
.584
183
.583
184
.583
185
.580
186
.580
187
.578
188
.577
189
.577
190
.577
191
.577
192
.575
193
.573
194
.573
195
.573
196
.573
197
.573
198
.572
199
.572
200
.569
201
.567
202
.567
203
.567
204
.566
205
.564
206
.564
207
.562
208
.562
209
.559
210
.558
211
.556
212
.553
213
.553
214
.550
215
.550
216
.548
217
.545
218
.545
219
.544
220
.541
221
.539
222
.536
223
.533
224
.530
225
.530
226
.525
227
.523
228
.523
229
.522
230
.522
231
.520
232
.520
233
.520
234
.520
235
.520
236
.519
237
.517
238
.517
239
.516
240
.511
241
.511
242
.511
243
.511
244
.506
245
.505
246
.503
247
.503
248
.498
249
.498
250
.495
251
.494
252
.492
253
.491
254
.489
255
.484
256
.483
257
.481
258
.470
259
.470
260
.463
261
.463
262
.461
263
.461
264
.458
265
.458
266
.445
267
.445
268
.436
269
.430
270
.427
271
.420
272
.417
273
.412
274
.406
275
.398
276
.378
277
.372
278
.323
279
.286
280
.109
281
.105
282
.098
283
.097
284
.086
285
.083
286
.080
287
.073
288
.069
289
.067
290
.064
291
.062
292
.062
293
.062
294
.062
295
.062
296
.062
297
.062
298
.062
299
.062
300
.062
301
.062
302
.062
303
.062
304
.061
305
.059
306
.059
307
.041
308
.037
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
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

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: Geirhos2021phasescrambling

Metric: top1