Name
Abstract | ||
|---|---|---|
Person re-identification (Re-ID) is a challenging task due to variations in pedestrian images, especially in cross-domain scenarios. The existing cross-domain person Re-ID approaches extract the feature from single pedestrian image, but they ignore the correlations among pedestrian images. In this paper, we propose Heterogeneous Convolutional Network (HCN) for cross-domain person Re-ID, which lear... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3074745 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Correlation,Feature extraction,Couplings,Convolution,Training,Cameras,Loss measurement | Journal | 32 |
Issue | ISSN | Citations |
3 | 1051-8215 | 2 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhong Zhang | 1 | 10 | 4.36 |
| Yanan Wang | 2 | 38 | 18.00 |
| Shuang Liu | 3 | 36 | 22.95 |
| Baihua Xiao | 4 | 377 | 40.56 |
| Tariq S. Durrani | 5 | 2 | 1.04 |