研究人员推出UAV-OVVIS，一项专门针对无人机（UAV）视频的开放词汇视频实例分割新任务。为解决标注数据不足的问题，他们开发了AeroTrack，一个无需训练的框架，利用现有的视觉基础模型。该框架能够灵活查询和进行细粒度的实例级理解，在UAV视频中表现优于通用的视频实例分割方法。该团队还创建了AeroVIS，一个用于评估UAV-OVVIS的基准数据集，包含9个对象类别和超过8000个轨迹。 AI
影响 这项研究有望提高AI系统在交通监控和应急响应等各种应用中分析航拍画面的能力。
排序理由 该集群描述了在arXiv上发布的新研究任务、框架和基准。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.08075v1 Announce Type: new Abstract: Unmanned Aerial Vehicle (UAV) videos are widely used in traffic monitoring, urban management, and emergency rescue. However, existing UAV video perception mainly relies on box-level localization and trajectory association under pred…
Unmanned Aerial Vehicle (UAV) videos are widely used in traffic monitoring, urban management, and emergency rescue. However, existing UAV video perception mainly relies on box-level localization and trajectory association under predefined categories, making it difficult to simult…