Steffen Schneider

This needs a few more additions before merging.

Small update: In case anything goes wrong (I do not know if `pkg_resources` will work across all supported python versions), add exception handling and throw a warning in case package...

> @jeylau @AlexEMG bumping this: > > > > Could we please add a docs page in https://github.com/stes/DeepLabCut/tree/add-benchmark/docs? Even if it links to the benchmark for further details, should be...

Hey @Solacex , yes you're right; actually all implementations currently using the same model, which is the one used in the Self-Ensembling paper by French et al. This gives the...

In case you're interested in implementing this, please directly change the code in ``https://github.com/domainadaptation/salad/blob/master/salad/models/digits/dirtt.py`` and call the resulting implementation ``SVHN_MNIST_DIRTTBaseline`` or similar. Thanks a lot!

Hi @Lan1991Xu , thanks for flagging this, it is indeed not yet implemented, but it should be straightforward to do so. A similar (or related) functionality (conditional batch norm) was...

> Thanks.Do you means conditional batch norm here. Yes, that would be an example on how to use it. Another one (in the context of ResNet for larger images) can...

First Paper to implement: - Learning Domain Invariant Representation under Domain-Class Dependency : https://openreview.net/forum?id=HJx38iC5KX This paper should be implemented using the `solver.DGBaseSolver` super class.

Hi @jkljk67890 , thanks for your interest! I'm afraid the current code base does not have a standalone and easy-to-run example for Office31. You'd need to wrap a model like...

Hey @bbdamodaran , in case you are still interested, check out [salad](https://domainadaptation.org) or [reach out](http://stes.io)! I am actively looking for collaborators currently.