@article{f070aa5422dd467e8456535e965439d9,
title = "End-to-end multitask Siamese network with residual hierarchical attention for real-time object tracking",
author = "Wenhui Huang and Jason Gu and Xin Ma and Yibin Li",
note = "Funding Information: This work is supported by the National High-tech Research and Development Program 863, China [2015AA042307]; the National Key Research and Development Program, China [2018YFB1305803]; the Joint Fund of National Natural Science Foundation and Shandong Province, China [U1706228]; the National Natural Science Foundation of China [61673245]; the Program for Outstanding PhD Candidate of Shandong University; the Natural Sciences and Engineering Research Council of Canada; the National Natural Science Foundation of China [61572300; 81871508; 61773246]; the Taishan Scholar Program of Shandong Province, China [TSHW201502038]; and the Major Program of Shandong Province Natural Science Foundation, China [ZR2018ZB0419]. Publisher Copyright: {\textcopyright} 2020, Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2020",
month = jun,
day = "1",
doi = "10.1007/s10489-019-01605-2",
language = "English",
volume = "50",
pages = "1908--1921",
journal = "Applied Intelligence",
issn = "0924-669X",
publisher = "Springer Netherlands",
number = "6",
}