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English(EN) Lightweight Frame Compensation for Real-Time Polyp Segmentation under Frame Skipping

轻量级帧补偿器提高实时息肉分割精度

研究人员开发了一种轻量级帧补偿器(LFC),用于提高结肠镜检查中的实时息肉分割性能,这项任务常受限于延迟。LFC模块仅包含77K参数,插入到现有分割模型之前,利用时空注意力融合连续帧。它通过伪标签进行训练,旨在减轻因帧跳过(一种提高吞吐量的常用技术)造成的精度损失。实验表明,LFC能够恢复因帧跳过而降低的精度,在保持显著吞吐量提升的同时,实现与逐帧推理相当的性能。 AI

影响 提高医学影像分析的效率和准确性,有望实现实时诊断工具。

排序理由 详细介绍一种新计算机视觉方法的学术论文。[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 →

轻量级帧补偿器提高实时息肉分割精度

本文如何被排名

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详细介绍一种新计算机视觉方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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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.
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paper, model release
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Weihao Gao ·

    Lightweight Frame Compensation for Real-Time Polyp Segmentation under Frame Skipping

    arXiv:2610.31228v1 Announce Type: new Abstract: Real-time polyp segmentation in computer-assisted colonoscopy is hampered by the difficulty of deploying high-accuracy models under strict latency budgets. Frame skipping, which performs inference every K frames and reuses or interp…