百度开源 Unlimited OCR 2,可解析几十到上百页长文档
百度发布并开源 Unlimited OCR 2,采用 SR-SWA 机制把文本-视觉注意力交互压缩为固定大小的工作引用,在有限上下文窗口内解析几乎任意长度的文档。随着文档变长,每步解码延迟和内存占用接近恒定。模型在 MPDocBench 和 MarathonDocBench 上取得 SOTA 表现,覆盖几十到数百页文档。
Baidu Inc.· @Baidu_Inc · X·2026-10-27 10:41· 1 小时前AI 评分59
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百度发布并开源 Unlimited OCR 2,采用 SR-SWA 机制把文本-视觉注意力交互压缩为固定大小的工作引用,在有限上下文窗口内解析几乎任意长度的文档。随着文档变长,每步解码延迟和内存占用接近恒定,模型在 MPDocBench 和 MarathonDocBench 上取得 SOTA 表现,覆盖几十到数百页文档。
正文 · 原文
Unlimited OCR 2 is here, and it's open source. 📖 ✨
Longer documents can mean a lot more attention computation. Our new SR-SWA mechanism keeps that in check by condensing text-visual attention interactions into a fixed-size set of working references.
Here's what it delivers:
- Document parsing at virtually any length, within a finite context window
- Nearly constant per-step decoding latency and memory footprint as documents grow longer
- State-of-the-art performance on MPDocBench and MarathonDocBench, covering documents from dozens to hundreds of pages
Check out the model here ↓
来源:Baidu Inc. · x.com
来源:RadarAI · aihot.news