Deep Integration: A Multi-Label Architecture for Road Scene Recognition
Volume: 28, Issue: 10, Pages: 4883 - 4898
Published: Oct 1, 2019
Abstract
Deep convolutional neural networks have been applied by automobile industries, Internet giants, and academic institutes to boost autonomous driving technologies; while progress has been witnessed in environmental perception tasks, such as object detection and driver state recognition, the scene-centric understanding and identification still remain a virgin land. This mainly encompasses two key issues: 1) the lack of shared large datasets with...
Paper Details
Title
Deep Integration: A Multi-Label Architecture for Road Scene Recognition
Published Date
Oct 1, 2019
Volume
28
Issue
10
Pages
4883 - 4898
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