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I've read through the paper, and I understand how the module works and is
implemented into existing architectures.
I'm just wondering which architecture the SENet* is, which is the best
performing model in the repository, since I can't seem to find that
mentioned anywhere.
The SENet* is one of the architectures which we used in the ILSVRC 2017 Image Classification task. The details are described in Appendix A. at the end of the paper.
Is this a new custom architecture you came up with, or is it a variant of ResNext or Inception?
Thanks.
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