English(EN) ARIDA - Active railway infrastructure dataset annotation using neural network predictions

新的ARIDA框架自动化铁路图像标注，减少人工工作量

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

一个名为ARIDA的新框架已被开发出来，用于自动化图像中铁路基础设施的标注，显著减少了手动标注工作量。这个半自动流水线使用神经网络预测来生成各种标注格式，如边界框和多边形，并包含质量分数和置信度阈值以确保可靠性。ARIDA还设有一个主动学习循环，优先处理不确定的图像供人工审查，进一步优化标注过程并实现显著的省力效果。 AI

影响自动化了一个繁琐的数据标注过程，可能加速基础设施计算机视觉领域的发展。

排序理由该集群包含一篇详细介绍新框架及其实验结果的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Maximilian Dornik, Christian Sieberichs, Simon Geerkens, Alexander Braun · 2026-11-05 05:00

ARIDA - 使用神经网络预测的主动铁路基础设施数据集标注

arXiv:2611.05646v1 Announce Type: new Abstract: Modern railway perception requires large comprehensive image datasets, but creating them is slowed by manual labeling, especially for track polylines and other complex infrastructure geometry. This paper presents the Active Railway …

本文如何被排名

报道来源 [1]

ARIDA - 使用神经网络预测的主动铁路基础设施数据集标注

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