Visualizing the invisible: Occluded vehicle segmentation and recovery

In this paper, we propose a novel iterative multi-task framework to complete the segmentation mask of an occluded vehicle and recover the appearance of its invisible parts. In particular, firstly, to improve the quality of the segmentation completion, we present two coupled discriminators that intro...

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Bibliographic Details
Main Authors: YAN, Xiaosheng, WANG, Feigege, LIU, Wenxi, YU, Yuanlong, HE, Shengfeng, PAN, Jia
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/8522
https://ink.library.smu.edu.sg/context/sis_research/article/9525/viewcontent/Visualizing_the_Invisible__Occluded_Vehicle_Segmentation_and_Recovery.pdf
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Institution: Singapore Management University
Language: English

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