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://megavitamines.shop/product-category/progesterone-cream/