OCR 2.0模型来了！图表、几何图形、音乐符号均转换为可编辑文本
最近，研究人员开发了一种新的通用光学字符识别（OCR）模型，名为 GOT(通用 OCR 理论)。在他们的论文中，首次提出了 “OCR2.0” 的概念，这个新模型旨在将传统 OCR 系统的优点与大型语言模型的强大功能结合起来。GOT 的架构相当先进，包含了一个大约8000万参数的图像编码器和一个500万参数的解码器。图像编码器能够将1024x1024像素的图像压缩成 tokens，而解码器则负责将这些 tokens 转换成最长可达8000个字符的文本。通过这种方式，OCR2.0
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