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.diegojavierfares.com/save-now-Caire-SeQual-Eclipse-Battery-Cartridge-for-Eclipse-3-5-Concentrators-top-grab/