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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Published in | Applied soft computing Vol. 96; p. 106682 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.11.2020
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Subjects | |
Online Access | Get full text |
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