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新的斑块级注视分布预测方法提高了注视跟随准确性

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一种名为斑块级注视分布预测（Patch-level Gaze Distribution Prediction, PDP）的新方法，以提高注视跟随的准确性。该方法预测斑块级的注视分布，考虑了标注的变化，并更好地将注视目标的预测与目标在图像内或图像外的判断结合起来。在公开数据集上的实验表明，与先前的方法相比，PDP在两个子任务上的性能都有所提升。 AI

影响 这项研究可能带来更准确的注视跟踪系统，应用于人机交互和增强现实领域。

排序理由 该集群包含一篇详细介绍计算机视觉任务新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 llama.cpp — Releases 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的斑块级注视分布预测方法提高了注视跟随准确性

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该集群包含一篇详细介绍计算机视觉任务新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. llama.cpp — Releases TIER_1 (SO) · github-actions[bot] ·

    b11932

    <details open=""> <p>mtmd-cli: Reduced scope of batch pointer (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/issues/31155">#31155</a>) (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/31165">#31165</a>)</p> <u…

  2. arXiv cs.CV TIER_1 English(EN) · Qiaomu Miao, Minh Hoai, Dimitris Samaras ·

    用于注视跟随的补丁级注视分布预测

    arXiv:2211.11062v2 Announce Type: replace Abstract: Gaze following aims to predict where a person is looking in a scene, by predicting the target location, or indicating that the target is located outside the image. Recent works detect the gaze target by training a heatmap regres…

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