[P] Linear Probe Evaluation for Domain Adaptation

So I am currently trying to benchmark different SSL methods for Domain Adaptation problem. To do this I chose the [adaptiope](https://openaccess.thecvf.com/content/WACV2021/papers/Ringwald_Adaptiope_A_Modern_Benchmark_for_Unsupervised_Domain_Adaptation_WACV_2021_paper.pdf) dataset. I am trying to reproduce the results however mine are significantly different from what is mentioned in the paper.


As per the paper the **source-only** experiments are conducted as below.
Source Only Experiment: Ex, Resnet would be trained on say amazon images and would be evaluated on synthetic images. Source is amazon and target is synthetic dataset.


>We …

amazon architecture classifiers dataset domain adaptation dropout evaluation experiment images linear machinelearning paper per probe rate relu resnet synthetic training true