SINA converts circuit schematic images to netlists at 96.67% accuracy using deep learning, OCR, connected-component labeling, and a vision-language model, claimed 2.72x better than prior methods.
A Survey on Image Data Aug- mentation for Deep Learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence
SINA converts circuit schematic images to netlists at 96.67% accuracy using deep learning, OCR, connected-component labeling, and a vision-language model, claimed 2.72x better than prior methods.