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Table 3
Tests of data processing and augmentation methods.
CNN | ResNet | |||||
---|---|---|---|---|---|---|
Processing | AUROC | TPR0 | TPR10 | AUROC | TPR0 | TPR10 |
Baseline | 0.9557 | 0.0 | 44.4 | 0.9913 | 36.0 | 55.0 |
No shift | 0.9071 | 0.0 | 0.0 | 0.8332 | 0.0 | 0.0 |
No scaling | 0.9660 | 0.0 | 18.5 | 0.9746 | 7.4 | 16.9 |
Mirror | 0.9505 | 5.3 | 38.1 | 0.9699 | 16.9 | 31.2 |
Mirror + kπ/2 | 0.9686 | 9.0 | 32.3 | 0.9834 | 22.2 | 40.2 |
Viewpoints v1 | 0.9773 | 17.5 | 43.4 | … | … | … |
Viewpoints v2 | 0.9841 | 11.1 | 42.3 | … | … | … |
Viewpoints v3 | 0.9632 | 5.3 | 27.5 | … | … | … |
Notes. Each test is described in Section 5.4. The baseline data set is used together with the baseline CNN and ResNet. The extraction of viewpoints was not tested for the baseline ResNet because this architecture is poorly suited for small input frames.
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