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004-MNIST New Test

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004-MNIST New Test

1.
Setting​

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Normalize data to (0-0.25), Gaussian blur, to simulate spectrum addition​

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channel to a single value, which is then followed by a linear layer.​

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Logistic regression, BCE loss.​

2.
Experiment 1: EMNIST.MNIST​

2.1 Config

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ENIST MNIST 0-9 training​

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Random r/2 + 0.1 on the clean and all mixting ​

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White: Gaussian noise​

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Square: corrupted by small squares​

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Mix: A clean mixed with 1-3 images that are all in the target set​

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Scale: one corruption image * scale 1-3​

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Overlap: 1-3 corruption images overlapped​

To make the description clearer, we define the following terms:

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Mix-Aug: mixing like 'data-aug mix' in the previous experiment​

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Data-Aug: corruption with non-target noise and patterns​

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Noise-Aug: Simply non-target noise and patterns, hope the output being 0​

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Prob-Aug: Prob-mix as in the previous experiment​