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English(EN) An Open-Source Two-Stage Computer Vision Pipeline for Fine-Grained Vehicle Classification using Vision Transformers

开源视觉流水线对车辆进行分类以保障骑行者安全

研究人员开发了一个开源的两阶段计算机视觉流水线,用于细粒度车辆分类,专门用于评估骑行者的受伤风险。该系统结合了预训练的 RT-DETR 检测器和微调的 Vision Transformer (ViT-Base/16),将车辆分为六种类型。它在分布内数据上实现了高精度,并在分布外数据集上表现出鲁棒性,还包含了一个基于置信度的弃权机制来处理不确定性。 AI

影响 提供了一个强大的开源工具来分析交通视频,可能改进道路安全研究和城市规划。

排序理由 该集群包含一篇详细介绍新研究方法和开源发布的学术论文。

在 arXiv cs.LG 阅读 →

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Gandhimathi Padmanaban, Fred Feng ·

    An Open-Source Two-Stage Computer Vision Pipeline for Fine-Grained Vehicle Classification using Vision Transformers

    arXiv:2606.05149v1 Announce Type: cross Abstract: Vehicle body type is a significant determinant of cyclist injury severity in overtaking crashes, yet automated tools for classifying vehicles into injury-risk-relevant categories from naturalistic roadway video do not exist in the…

  2. arXiv cs.LG TIER_1 English(EN) · Fred Feng ·

    An Open-Source Two-Stage Computer Vision Pipeline for Fine-Grained Vehicle Classification using Vision Transformers

    Vehicle body type is a significant determinant of cyclist injury severity in overtaking crashes, yet automated tools for classifying vehicles into injury-risk-relevant categories from naturalistic roadway video do not exist in the open literature. Standard object detection benchm…