论文地址:OCR-free Document Understanding Transformer 作者机构:NAVER CLOVA 发表时间:2022 发表情况:ECCV 2022 代码仓库:github.com/clovaai/donu AI 解读 :本文主要介绍了一个名为Donut的新型OCR-free VDU模型。文章指出当前的VDU方法普遍使用OCR引擎来识别文本,但OCR方
Current Visual Document Understanding (VDU) methods outsource the task of reading text to off-the-shelf Optical Character Recognition (OCR) engines and focus on the understanding task with the OCR outputs. Although such OCR-based approaches have shown promising performance, they suffer from 1) high...
Swin Transformer是一种基于滑动窗口的视觉Transformer模型,具有高效的特征提取能力。 图像被划分成一系列固定大小的图块(patches)。 每个图块通过嵌入层转化为特征向量,然后输入到Swin Transformer。 Swin Transformer通过多层滑动窗口自注意力(Shifted Window Self-Attention)机制提取图像特征。 最终,输出一个包含图像嵌入的...
Donut🍩,Documentunderstandingtransformer, is a new method of document understanding that utilizes an OCR-free end-to-end Transformer model. Donut does not require off-the-shelf OCR engines/APIs, yet it shows state-of-the-art performances on various visual document understanding tasks, such as vi...
Donut模型的训练通过结合图像和先前的文本上下文预测下一个单词，进行预训练。利用预训练目标阅读文本与合成数据的直接实现，可以适应不同语言和领域。模型架构包括基于Transformer的视觉编码器与文本解码器，整体过程在图中清晰展示。通过简单的设置，该模型取得了与复杂方法相媲美的性能，甚至在某些测试集上超越...
12|0(ECCV 2022 Donut) OCR-free Document Understanding Transformer code:https://github.com/clovaai/donut 该工作将OCR中多个子任务都集成到了一个End-to-End的网络中,网络是基于transformer的编解码结构。这应该是第一篇将Transformer 编解码结构应用到整个OCR任务中的工作,包括文档分类、文档信息提取和文档问答...
ColPali During indexing, we aim to strip away a lot of the complexity by using images (“screenshots”) of the document pages directly. A Vision LLM (PaliGemma-3B) encodes the image by splitting it into a series of patches, which are fed to a vision t...
"OCR-free Document Understanding Transformer." (2021). MIT license.[2] Zheng Huang, et al. "ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction." 2019 International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2019. MIT license....
To address these issues, in this paper, we introduce a novel OCR-free VDU model named Donut, which stands for Document understanding transformer. As the first step in OCR-free VDU research, we propose a simple architecture (i.e., Transformer) with a pre-training objective (i.e., cross-...
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022 - clovaai/donut