Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach

Volume: 19, Issue: 3, Pages: 745 - 757
Published: Mar 1, 2018
Abstract
Understanding traffic scene images taken from vehicle mounted cameras is important for high-level tasks, such as advanced driver assistance systems and autonomous driving. It is a challenging problem due to large variations under different weather or illumination conditions. In this paper, we tackle the problem of traffic scene understanding from a cross-domain perspective. We attempt to understand the traffic scene from images taken from the...
Paper Details
Title
Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach
Published Date
Mar 1, 2018
Volume
19
Issue
3
Pages
745 - 757
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