社区驱动的综合科学论文摘要：来自cvpaper的见解。挑战
Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge
摘要：
本文介绍了一个由志愿者参与的撰写会议纪要的小组活动。科学论文的快速增长对研究人员来说是一个沉重的负担，特别是非母语人士，他们需要调查科学文献。为了缓解这个问题，我们组织了一组非英语母语的人来撰写在计算机视觉会议上提交的论文摘要，以分享该组阅读的论文的知识。我们总结了2019年和2020年在计算机视觉顶级会议--计算机视觉与模式识别会议上发表的共计2，000篇论文。我们定量分析了参与者在众多可用论文中阅读哪些论文的选择。实验结果表明，我们可以总结广泛的论文，而不要求参与者阅读与他们的兴趣无关的论文。
英文摘要：
The present paper introduces a group activity involving writing summaries of conference proceedings by volunteer participants. The rapid increase in scientific papers is a heavy burden for researchers, especially non-native speakers, who need to survey scientific literature. To alleviate this problem, we organized a group of non-native English speakers to write summaries of papers presented at a computer vision conference to share the knowledge of the papers read by the group. We summarized a total of 2,000 papers presented at the Conference on Computer Vision and Pattern Recognition, a top-tier conference on computer vision, in 2019 and 2020. We quantitatively analyzed participants' selection regarding which papers they read among the many available papers. The experimental results suggest that we can summarize a wide range of papers without asking participants to read papers unrelated to their interests.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
