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【Passive Rotation】 #98
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Could you please take a moment to look into this question when you have the time? @kalekundert |
FYI, I'm just a user of this software, not a maintainer. A lot of the math that goes on behind the scenes is beyond my understanding. But I'm familiar with the basics and happy to try the help. Unfortunately, I don't really understand your question. What's a backbone? Which validation program are you referring to? If you're asking whether or not you can implement a function where
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Thank you very much for your response! I apologize if my descriptions were not clear enough due to my limited understanding of this topic. Specifically, I've referred to the program at So, I would like to know two things:
Thank you! |
I'm interested in learning how to use the operators in e2cnn/escnn to implement a function f such that f(Fea_I) = Fea_I_rot. Here, Fea_I = B(I) represents the feature of an image I after passing through a backbone, and Fea_I_rot = B(I_rot) is the feature of the rotated version of the image I_rot.
From my understanding, it seems that the results after passing I and I_rot through the rotation-equivariant network are the same, as observed in your validation program. Could you please provide some guidance on this matter?
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