A parquetry floor shop has a pretrained furniture-stills model. Where should transfer be expected to help, and where should it not?
Select an answer to reveal the explanation.
Short Explanation
Transfer loves a short hop—furniture stills to parquet grain. A spectrogram is a different planet; do not pretend the same vision passport works there.
Full Explanation
Transfer learning saves data and compute when the source domain is visually close to the target. Furniture stills to parquet close-ups is a close jump; kettle spectrograms are a far modality and domain mismatch. Blind reuse across that gap is not an official win.