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ReferTrack: Referring Then Tracking for Embodied Visual Tracking

1 reports1 reporting sourcesUpdated 4 days ago

Overview

Event synthesis

ReferTrack结合指代与跟踪,用单目相机和TVBI时序记忆,在仿真中取得SOTA,可部署于四足和人形机器人。在DT、AT任务中表现优于部分多相机基线。","latest":"ReferTrack通过单目相机和TVBI时序记忆,在仿真中取得SOTA,可部署于四足和人形机器人。"}

Generated from attributed reports · Updated 35 minutes ago

Event evidence and corrections

0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Environment: simulation
Supporting report

“EVT‑Bench基准上单目设置拿下SOTA,在目标极易混淆的任务上,效果甚至优于部分多相机基线;同时完成四足、人形机器人部署,证明强大的仿真到现实迁移能力。”

Exact source · revision 4

Source owner not reported

Artifact availability · code: available
Supporting report

“作者 :Hanjing Ye , Tianle Zeng , Jiazhao Zhang , Shaoan Wang , Zibo Zhang , Weisi Situ , Yuchen Zhou , Yonggen Ling , Hong Zhang 单位 : 南方科技大学RCV实验室, 腾讯Robotics X, 北京大学, 福田实验室 论文标题 :ReferTrack: Referring Then Tracking for Embodied Visual Tracking 论文链接 :https://arxiv.org/abs/2607.20061 代码链接 :https://github.com/MedlarTea/referTrack 研究背景 具身视觉跟踪EVT ,简单说就是:机器人只靠自身机载摄像头,听懂人类自然语言指令,持续跟随指令描述的特定行人。”

Exact source · revision 4

Source owner not reported

Artifact availability · paper: available
Supporting report

“作者 :Hanjing Ye , Tianle Zeng , Jiazhao Zhang , Shaoan Wang , Zibo Zhang , Weisi Situ , Yuchen Zhou , Yonggen Ling , Hong Zhang 单位 : 南方科技大学RCV实验室, 腾讯Robotics X, 北京大学, 福田实验室 论文标题 :ReferTrack: Referring Then Tracking for Embodied Visual Tracking 论文链接 :https://arxiv.org/abs/2607.20061 代码链接 :https://github.com/MedlarTea/referTrack 研究背景 具身视觉跟踪EVT ,简单说就是:机器人只靠自身机载摄像头,听懂人类自然语言指令,持续跟随指令描述的特定行人。”

Exact source · revision 4

Source owner not reported

Evidence dependency changes (2)
  • 2026-10-13T08:21:28.710Z · evidence updated · source revision 4. Evidence extraction was updated; current source attributions are shown above.
  • 2026-10-10T11:49:16.124Z · evidence updated · source revision 3. Evidence extraction was updated; current source attributions are shown above.

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10/9
  1. Chinese robotics — Robot learning researchSignal
    ReferTrack: Referring Then Tracking for Embodied Visual Tracking

    This paper proposes ReferTrack, a new paradigm for embodied visual tracking that combines referring and tracking. The model uses a single forward-facing camera, selects targets via index detection boxes, and employs TVBI temporal visual boundary information to achieve state-of-the-art results on EVT-Bench. It is deployable on quadruped and humanoid robots, showing strong simulation-to-reality transfer capabilities.

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