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DigThatData t1_iue7pne wrote

very thought provoking stuff! I wonder if maybe an alternative interpretation of these observations might be something along the lines of deep image prior, i.e. maybe randomly initialized deep architectures are capable of performing edge detection just by virtue of how the gradient responds to the stacked operators?

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jellyfishwhisperer t1_iuisl72 wrote

That's about right. Convolution priors in particular lend themselves to edge detection. CV xai is weird in general though so I've stepped back a bit. Is a good explanation one that looks good or one that is faithful to the model or what? Everyone disagrees. So Ive moved to inputs with interpretable features (text, tables, science, etc).

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