百度开源 Unlimited OCR 2 文档解析模型
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 ↓
百度开源 Unlimited OCR 2 文档解析模型,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大小的工作参考集。官方称该模型可在有限上下文窗口内解析几乎任意长度的文档,文档变长时每步解码延迟和内存占用近乎恒定,并在 MPDocBench 和 MarathonDocBench 上取得 SOTA,覆盖数十页到数百页文档。
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