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English(EN) Lightweight Polyp Segmentation via a Gain-Aware Prediction-Space Recursive Controller

新型递归控制器增强轻量级息肉分割

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新颖的递归控制器，用于轻量级息肉分割，直接在骨干 logits 上操作以改进预测。该控制器聚合差异和不确定性证据来更新状态跟踪校正效用，并应用加性残差 logit 校正。该方法在 Kvasir-SEG 数据集和三个迁移数据集上使用统一协议进行评估，结果显示与开销极小的较重方法相比，性能持续提升且具有竞争力。 AI

影响 引入了一种新颖、高效的医学图像分割方法，有望改进诊断工具。

排序理由 该集群包含一篇详细介绍新图像分割方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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

新型递归控制器增强轻量级息肉分割

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该集群包含一篇详细介绍新图像分割方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jiachi Zhang, Zhuoyu Wu, Quanjun Wang, Wenhui Ou, Wenqi Fang ·

    通过增益感知预测空间递归控制器实现轻量级息肉分割

    arXiv:2607.03062v1 Announce Type: new Abstract: While lightweight polyp segmentation is highly desirable for low-cost deployment, reported performance gains often stem from upgraded backbone encoders, complex decoders, or heavy refinement branches. Consequently, it remains diffic…

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