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English(EN) Computer Vision for MOBA Analytics: A Dataset and Baseline for Visibility Analysis in Dota 2

新数据集助力 Dota 2 比赛中的可见性分析

研究人员开发了一个新的数据集和方法论,用于分析 Dota 2 比赛中的可见性,超越了传统结构化数据。Dota2-Vis 数据集源自 The International 2025 比赛,包含视频片段和标注的小地图图像。通过使用 YOLO11l 等目标检测模型,该系统可以估算玩家的存在和可见性,揭示现有分析难以捕捉的行为模式。 AI

影响 通过计算机视觉实现对电子竞技中玩家行为和策略的更深入分析。

排序理由 该集群包含一篇学术论文,详细介绍了在特定领域(电子竞技分析)中用于计算机视觉分析的新数据集和方法论。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新数据集助力 Dota 2 比赛中的可见性分析

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该集群包含一篇学术论文,详细介绍了在特定领域(电子竞技分析)中用于计算机视觉分析的新数据集和方法论。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Ricardo da Rocha Carvalho, Elo\'isa Oliveira, Luiz Bernardo Martins Kummer, Emerson Cabrera Paraiso, Rayson Laroca ·

    用于MOBA分析的计算机视觉:Dota 2可见性分析的数据集与基线

    arXiv:2606.26970v1 Announce Type: new Abstract: Introduction: Most Multiplayer Online Battle Arena (MOBA) analytics studies rely on structured data, which does not directly capture what each team could actually see during a match. Objective: This work introduces Dota2-Vis, a vide…

  2. arXiv cs.CV TIER_1 English(EN) · Rayson Laroca ·

    用于MOBA分析的计算机视觉:Dota 2 可见性分析的数据集和基线

    Introduction: Most Multiplayer Online Battle Arena (MOBA) analytics studies rely on structured data, which does not directly capture what each team could actually see during a match. Objective: This work introduces Dota2-Vis, a video-based dataset, and a baseline pipeline for vis…