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Mar, 2020
HeatNet: 利用热成像技术缩小昼夜间语义分割差距
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
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Johan Vertens, Jannik Zürn, Wolfram Burgard
TL;DR
本文提出了一种多模态语义分割模型,可以适用于日间和夜间场景,通过引入热成像技术和RGB照片,利用现有白天RGB数据集实现对夜间图像的学习,并提出了一个新的域对齐训练方法,在自动驾驶方面获得了最新的夜间语义分割结果。
Abstract
The majority of learning-based
semantic segmentation
methods are optimized for daytime scenarios and favorable lighting conditions. Real-world driving scenarios, however, entail adverse environmental conditions such as
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