A Transformer can learn to decode QR codes from bit strings, outperforming standard error correction on corrupted codes by exploiting language structure, but only under a simplified fixed-mask setup.
A lightweight barcode detection algorithm based on deep learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding
A Transformer can learn to decode QR codes from bit strings, outperforming standard error correction on corrupted codes by exploiting language structure, but only under a simplified fixed-mask setup.