Abstract | ||
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Although object detection techniques have been widely employed in various practical applications, automatic tree detection is still a difficult challenge, especially for street-view images. In this article, we propose a unified end-to-end trainable network for automatic street tree detection based on a state-of-the-art deep learning-based object detector. We tackle low illumination and heavy occlu... |
Year | DOI | Venue |
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2020 | 10.1109/TIM.2019.2958580 | IEEE Transactions on Instrumentation and Measurement |
Keywords | DocType | Volume |
Vegetation,Task analysis,Deep learning,Proposals,Object detection,Detectors,Three-dimensional displays | Journal | 69 |
Issue | ISSN | Citations |
8 | 0018-9456 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |