3 ms·
Additionally, try flipping your images and averaging the size before comparing the distance between them. I'd expect a boost of about 78% -> 84% or so, based on
by tysam_and 3y ago
Additionally, try flipping your images and averaging the size before comparing the distance between them. I'd expect a boost of about 78% -> 84% or so, based on how this typically works as TTA.
- jdthedisciple 3y agoCan you elaborate more on that technique? Why would it improve the result so much? Sounds very interesting so I'm curious.
- tysam_and 3y agofacepalm I just realized I was talking about this in the context of MNIST -- my apologies. It would be better in a problem with horizontal symmetry like CIFAR, esp if the zipping is serialized by unwinding the 2d pixel array into 1d. One trick that _should_ work is by comparing the distances of starting the compression at the 4 different corners of the image, in the 2 separate directions for each corner. That should provide way more than enough information for k-means clustering. My apologies again for my mistake, thank you for asking, I wouldn't have really seen that otherwise :')))).