We consider a challenging learning scenario where neither pretext training nor auxiliary data are available except for small training samples. We call this a transfer-free scenario where we cannot access any transferable knowledge or data. Our proposal for resolving this issue is to learn a pair-wise transformation function (e. https://www.bekindtopets.com/deal-alert-NHL-Winnipeg-Jets-Distressed-iPhone-13-Pro-Max-MagSafe-Case-p96268-great-save/