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English(EN) Real-time Appearance-based Gaze Estimation for Open Domains

新研究通过轨迹感知和移动优化解决注视点估计问题

作者 PulseAugur 编辑部 · [2 个来源] ·

两篇新研究论文解决了注视点估计问题，这项技术对于驾驶员监控和人机交互等应用至关重要。第一篇论文介绍了EyeTAG框架，该框架将注视轨迹作为一个显式变量，通过减少抖动和扫视偏差来提高准确性。第二篇论文提出了UniGaze-H，一个专为移动设备上实时注视点跟踪设计的轻量级模型，它通过数据增强和多任务学习来增强非约束场景下的泛化能力。 AI

影响 注视点估计的进步可以改善人机交互和驾驶员监控系统。

排序理由 两篇在arXiv上发表的学术论文，详细介绍了注视点估计的新方法。

在 arXiv cs.CV 阅读 →

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新研究通过轨迹感知和移动优化解决注视点估计问题

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两篇在arXiv上发表的学术论文，详细介绍了注视点估计的新方法。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Jungmin Lee, Niamat Ullah, Yoseob Han ·

    EyeTAG：眼动轨迹感知注视点估计

    arXiv:2610.00922v1 Announce Type: new Abstract: Gaze estimation under natural head-eye motion underpins applications from driver monitoring to human-computer interaction. Single-frame methods predict each frame independently, so consecutive outputs fluctuate as jitter. Multi-fram…

  2. arXiv cs.CV TIER_1 English(EN) · Zhenhao Li, Zheng Liu, Seunghyun Lee, Amin Fadaeinejad, Yuanhao Yu ·

    面向开放域的实时外观式注视点估计

    arXiv:2603.26945v2 Announce Type: replace Abstract: Appearance-based gaze estimation (AGE) has achieved remarkable performance in constrained settings, yet we reveal a significant generalization gap where existing AGE models often fail in practical, unconstrained scenarios, parti…

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