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Typically they would investigate something like the closest (in terms of eg MSE) image from the training set.
by atorodius 5y ago
Typically they would investigate something like the closest (in terms of eg MSE) image from the training set.
- jstx1 5y agoHow do you compute MSE between images?
- unoti 5y agoHow to get MSE between images: 1. Express each pixel as a vector of numbers, probably with RGB. 2. For each of the color vectors, for each of the colors, subtract the color 1 from color 2. 3. Square those differences, and add them. In this way you can get mean squared error for each pixel or for the entire image.
- jstx1 5y agoRight but I don't see how it's useful in this context given that rotations, reflections and translations of an object across the canvas can give you high MSE while retaining most of the original image.
- atorodius 5y agoAgreed, but it would be surprising (impossible depending on the arch) if the CNN learned such transformations.
- IdiocyInAction 5y agoMSE is kind of crappy for images; you'd use something like image-specific, like SSIM.
- atorodius 5y agoSure, but if you are looking for memorization MSE will give you a decent clue I would think.