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TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document
March 8, 2024, 5:45 a.m. | Yuliang Liu, Biao Yang, Qiang Liu, Zhang Li, Zhiyin Ma, Shuo Zhang, Xiang Bai
cs.CV updates on arXiv.org arxiv.org
Abstract: We present TextMonkey, a large multimodal model (LMM) tailored for text-centric tasks, including document question answering (DocVQA) and scene text analysis. Our approach introduces enhancement across several dimensions: by adopting Shifted Window Attention with zero-initialization, we achieve cross-window connectivity at higher input resolutions and stabilize early training; We hypothesize that images may contain redundant tokens, and by using similarity to filter out significant tokens, we can not only streamline the token length but also enhance …
arxiv cs.ai cs.cv document free multimodal multimodal model ocr type understanding
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