Name
Abstract | ||
|---|---|---|
Some multi-task correlation filter trackers achieve the top-ranked performance in terms of accuracy and robustness. However, they directly fuse multiple types of features into a single kernel space. This operation fails to fully explore the discriminative strength and diversity of different features, and also ignores the structured correspondence of different tasks. To solve these issues, we propo... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSVT.2020.3023809 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Target tracking,Correlation,Kernel,Feature extraction,Robustness | Journal | 31 |
Issue | ISSN | Citations |
6 | 1051-8215 | 0 |
PageRank | References | Authors |
0.34 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baojie Fan | 1 | 41 | 10.48 |
| Yang Cong | 2 | 684 | 38.22 |
| Y. Tang | 3 | 243 | 33.69 |
| Jiandong Tian | 4 | 91 | 9.75 |
| Chenliang Xu | 5 | 434 | 28.73 |