Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification.
Lu Yang|Hongbang Liu|Lingqiao Liu|Jinghao Zhou|Lei Zhang|Peng Wang|Yanning Zhang
| Anthology ID: | DBLP:conf/mir/YangLLZZWZ22 |
|---|---|
| Volume: | ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 81-89 |
| URL: | https://doi.org/10.1145/3512527.3531357 |
| DOI: | https://doi.org/10.1145/3512527.3531357 |
| DBLP: | conf/mir/YangLLZZWZ22 |
| BibTeX: |
@inproceedings{yang-2022-pluggable,
author = {Lu Yang and
Hongbang Liu and
Lingqiao Liu and
Jinghao Zhou and
Lei Zhang and
Peng Wang and
Yanning Zhang},
editor = {Vincent Oria and
Maria Luisa Sapino and
Shin'ichi Satoh and
Brigitte Kerherv\'{e} and
Wen-Huang Cheng and
Ichiro Ide and
Vivek K. Singh},
title = {{Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification}},
booktitle = {{ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022}},
pages = {81--89},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3512527.3531357},
doi = {https://doi.org/10.1145/3512527.3531357}
}