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English(EN) UAV-OVVIS: Unmanned Aerial Vehicles Also Need Open-Vocabulary Video Instance Segmentation

无人机视频开放词汇分割的新任务和框架

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。

在 arXiv cs.CV 阅读 →

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无人机视频开放词汇分割的新任务和框架

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Mingyu Dou, Shi Qiu, Ming Hu, Yifan Chen, Zhe Sun ·

    UAV-OVVIS:无人机也需要开放词汇视频实例分割

    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…

  2. arXiv cs.CV TIER_1 English(EN) · Zhe Sun ·

    UAV-OVVIS:无人机也需要开放词汇视频实例分割

    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…