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If I am understanding the side-by-side comparison correctly, then the performance is highly correlated with MNIST (at least for high accuracy methods). https:/

• Q6T46nT668w6i3m 9y ago
  They should be correlated. It’s difficult (or near impossible) to interpret the underlying convolutional features, but one can assume they are recognizing basic image descriptors like intensities and shapes. They are rescaled to a size that would deemphasize complex descriptors like texture. Likewise, they are single-channel so that would deemphasize color features.