A reconstruction-pretrained Vision Transformer reportedly recognizes modulation types with 15% labeled data at 71% accuracy, surpassing its fully supervised counterpart, though data handling errors undercut the claim.
Transfer learning for semi-supervised amc in zf-mimo systems,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Enhancing Automatic Modulation Recognition With a Reconstruction-Driven Vision Transformer Under Limited Labels
A reconstruction-pretrained Vision Transformer reportedly recognizes modulation types with 15% labeled data at 71% accuracy, surpassing its fully supervised counterpart, though data handling errors undercut the claim.