Transformation-Based Data Synthesis for Limited Sample Scenario
We consider a challenging learning scenario where neither pretext training nor BIOTIN 5000 MCG 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.g., spa