百度开源 Unlimited OCR 2 文档解析模型
Unlimited OCR 2 is here, and it's open source. 📖 ✨
百度开源 Unlimited OCR 2，通过新的 SR-SWA 机制把文本与视觉的注意力交互压缩为固定规模的工作参考，从而在有限上下文窗口内解析几乎任意长度的文档。官方称文档变长时每步解码延迟和内存占用接近恒定，并在覆盖数十页到数百页文档的 MPDocBench 和 MarathonDocBench 上取得 SOTA 表现。
正文
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 ↓