PulseAugur
中
实时 03:48:42
English(EN) Xiaomi SeerRay-Lab has open-sourced Xiaomi-Lens-0, a 4B multimodal model built on Qwen3.5-4B that emits mask tokens to ground its answers in image regions at pi

小米开源4B多模态模型Xiaomi-Lens-0,具备像素级定位能力

小米的SeerRay-Lab发布了Xiaomi-Lens-0,一个基于Qwen3.5-4B的40亿参数多模态模型。该模型通过发出掩码令牌,将响应锚定在特定图像区域,实现像素级定位。除了模型,该实验室还推出了LensBench,一个专门用于评估像素级视觉定位能力的新基准。 AI

影响 为像素级视觉定位提供了开源替代方案,有望推动多模态AI的研究和发展。

排序理由 一家大型科技公司相关实验室发布了开源多模态模型和基准。 [lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

小米开源4B多模态模型Xiaomi-Lens-0,具备像素级定位能力

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
一家大型科技公司相关实验室发布了开源多模态模型和基准。 [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
2 days old
Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    小米SeerRay-Lab开源了Xiaomi-Lens-0,一个基于Qwen3.5-4B构建的4B多模态模型,它会发出掩码令牌以将答案锚定在图像区域

    Xiaomi SeerRay-Lab has open-sourced Xiaomi-Lens-0, a 4B multimodal model built on Qwen3.5-4B that emits mask tokens to ground its answers in image regions at pixel level. The team also released LensBench, a benchmark for pixel-level visual grounding. It offers an open alternative…