COMO framework uses minimum risk training for optical molecule recognition

Researchers have introduced COMO, a novel closed-loop framework for optical chemical structure recognition. This system utilizes Minimum Risk Training (MRT) to address the exposure bias inherent in traditional teacher-forcing methods. By directly optimizing for molecule-level evaluation criteria rather than token-level predictions, COMO demonstrates significant improvements over existing methods on various benchmarks, including real-world documents. AI

影响 Introduces a new training paradigm for chemical structure recognition, potentially improving accuracy in document analysis.

排序理由 This is a research paper detailing a new method for optical chemical structure recognition.

在 arXiv cs.CV 阅读 →

• arXiv
• COMO
• Hugging Face
• Minimum Risk Training
• SMILES

• 论文
• 其他

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →