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jsczzzk / R-MSFM

Code for R-MSFM

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Training Procedure

shlomi-amitai opened this issue · comments

commented

Hi,

Great work :)

Will you release the training procedure for this NN?

Thanks

commented

Hi,
Sorry for the late reply. Our training procedure completely follows the RAFT and Monodepth2. The main differences between ours and monodepth2 are:

  1. We only use the intrinsic camera parameters at full resolution during training instead of the multi-scale ones at the Monodepth2.
  2. We give an update weight for each update of the self-supervision.
commented

What beta value (β) was used for training?

commented

In the 4.1. Implementation Details section, we state the update item β as 0.9.

commented

Excuse me,Will you upload the whole codes?I think your methods are significant.

commented

Hi, Thank you for your attention :) I am cleaning my code and will upload it in the future. Before then, you can refer to this project, which achieves better results than mine.