AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network

The extensive computational burden limits the usage of convolutional neural networks (CNNs) in edge devices for image semantic segmentation, which plays a significant role in many real-world applications, such as augmented reality, robotics, and self-driving. To address this problem, this paper pres...

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Bibliographic Details
Published inApplied soft computing Vol. 96; p. 106682
Main Authors Zhou, Quan, Wang, Yu, Fan, Yawen, Wu, Xiaofu, Zhang, Suofei, Kang, Bin, Latecki, Longin Jan
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.11.2020
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