Abstract | ||
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Semantic segmentation and depth completion are two challenging tasks in scene understanding, and they are widely used in robotics and autonomous driving. Although several studies have been proposed to jointly train these two tasks using some small modifications, such as changing the last layer, the result of one task is not utilized to improve the performance of the other one despite that there ar... |
Year | DOI | Venue |
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2021 | 10.1109/TNNLS.2021.3072883 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Semantics,Task analysis,Image segmentation,Image reconstruction,Buildings,Vegetation mapping,Feature extraction | Journal | 32 |
Issue | ISSN | Citations |
12 | 2162-237X | 1 |
PageRank | References | Authors |
0.35 | 13 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chongzhen Zhang | 1 | 2 | 0.71 |
Yang Tang | 2 | 1310 | 64.50 |
Chaoqiang Zhao | 3 | 2 | 1.38 |
Qiyu Sun | 4 | 221 | 23.66 |
Zhencheng Ye | 5 | 1 | 0.35 |
Jürgen Kurths | 6 | 2000 | 142.58 |