One-for-All Model Initialization with Frequency-Domain Knowledge
One-for-All Model Initialization with Frequency-Domain Knowledge explores FRONT enables efficient transfer learning by extracting and transferring task-agnostic knowledge from pre-trained models via frequency domain analysis, allowing for faster convergence and reduced training costs.. Commercial viability score: 8/10 in Transfer Learning.
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