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

IEEE Transactions on Intelligent Transportation Systems, pp. 745-757, 2018.

Cited by: 10|Bibtex|Views26|DOI:https://doi.org/10.1109/TITS.2017.2702012
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Other Links: dblp.uni-trier.de|academic.microsoft.com

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 understand...More

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