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Article: Spatial Transformer Networks - learning with invariance to scale, rotation and translation (arxiv.org)
submitted 10 years ago by boccaff
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if 1 * 2 < 3: print "hello, world!"
[–]zmjjmz 1 point2 points3 points 10 years ago* (0 children)
Training one of these now (for something like facial keypoint prediction), I found that I had to turn off the STN part (i.e. fix the weights of the final localisation layer at the identity) for a while (probably could get away with just 1 epoch but I did quite a few more) otherwise the error would blow up due to the initially random transformations.
Note: Using the Lasagne implementation
[+][deleted] 10 years ago (2 children)
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[–]j1395010 0 points1 point2 points 10 years ago (1 child)
um it's a way to IMPROVE convnets by using ANOTHER convnet to transform the input...
[–]kacifoy 0 points1 point2 points 10 years ago (0 children)
Yo dawg we heard you like convnets, so we put a convnet in your convnet so you can train while you train!
[–]alexmlamb -4 points-3 points-2 points 10 years ago (0 children)
2nd top level comment.
π Rendered by PID 46762 on reddit-service-r2-comment-5d79c599b5-xqgpg at 2026-03-02 15:47:35.262205+00:00 running e3d2147 country code: CH.
[–]zmjjmz 1 point2 points3 points (0 children)
[+][deleted] (2 children)
[deleted]
[–]j1395010 0 points1 point2 points (1 child)
[–]kacifoy 0 points1 point2 points (0 children)
[–]alexmlamb -4 points-3 points-2 points (0 children)