BriefGPT.xyz
May, 2024
歧义标注:何时不是行人?
Ambiguous Annotations: When is a Pedestrian not a Pedestrian?
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Luisa Schwirten, Jannes Scholz, Daniel Kondermann, Janis Keuper
TL;DR
通过排除高度模棱两可的数据,在自动驾驶数据集的标注中探究标注的模糊性,可以提高最先进行人检测器的模型性能,从而节省训练时间和标注成本,并确保训练数据的代表性。
Abstract
datasets
labelled by human annotators are widely used in the training and testing of machine learning models. In recent years, researchers are increasingly paying attention to
label quality
. However, it is not al
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