ImageNet pretrain about insta-dm HOT 4 CLOSED

Hi, thank you for your interest! The numbers are the results of our imagenet pretrained model as described in the table in this section. I guess you might be confused by the numbers of MonoDepth2's results in Table 4 in our paper. Sorry for the confusion.

from insta-dm.

Thank you for clarifying this!

I have one more question, in your code, you are always using the models.DispResNet() as depth net. Is this corresponding to the fourth row (DispResNet, AbsRel 0.124) of Table 4 in your paper instead of the eleventh row (ResNet18, AbsRel 0.112)?
If yes, how can I switch to the ResNet18 configuration?

Thank you!

from insta-dm.

The default configuration of this code is based on the ResNet18 architecture (AbsRel 0.112). In this line, you can see the input configuration of the ResNet types, which is declared in this line. The naming of "DispResNet" is originated from SC-SfMLearner and CC.

from insta-dm.

Ok, got it. Appreciate your prompt response.

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