Name
Abstract | ||
|---|---|---|
•A novel local segmentation network named FPSN, which can reduce the interference of background features in metric learning.•To better obtain accurate and complete feature information, GASN combines foreground features, panoramic features, local features, and global features.•The BCN constrains the relationship between foreground features, background features, and panorama features. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jvcir.2020.102961 | Journal of Visual Communication and Image Representation |
Keywords | DocType | Volume |
Person Re-identification,Body misalignment,Foreground features,Background information | Journal | 74 |
ISSN | Citations | PageRank |
1047-3203 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxiu Gong | 1 | 0 | 0.34 |
| Ronggui Wang | 2 | 44 | 10.06 |
| Juan Yang | 3 | 40 | 10.74 |
| Lixia Xue | 4 | 8 | 4.56 |
| Min Hu | 5 | 31 | 12.64 |