DiagramNet supplies a new multimodal dataset and progressive training pipeline with decoupled multi-agent workflow, allowing a 3B model to outperform GPT-5, Claude-Sonnet-4, and Gemini-2.5-Pro by over 2x on system-level diagram tasks while generalizing to other benchmarks.
AMSNet : Netlist Dataset for AMS Circuits , October 2024
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
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DiagramNet: An End-to-End Recognition Framework and Dataset for Non-Standard System-Level Diagrams
DiagramNet supplies a new multimodal dataset and progressive training pipeline with decoupled multi-agent workflow, allowing a 3B model to outperform GPT-5, Claude-Sonnet-4, and Gemini-2.5-Pro by over 2x on system-level diagram tasks while generalizing to other benchmarks.
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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.