One for All: A Review of Large Pre-training Models for Re-Identification.
Yubing Sun|Shuguang Dou|Ding Qi|Yanping Li|Jiale Zhao|Cairong Zhao
| Anthology ID: | DBLP:conf/www/SunDQLZZ25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1581-1585 |
| URL: | https://doi.org/10.1145/3701716.3717652 |
| DOI: | https://doi.org/10.1145/3701716.3717652 |
| DBLP: | conf/www/SunDQLZZ25 |
| BibTeX: |
@inproceedings{sun-2025-one,
author = {Yubing Sun and
Shuguang Dou and
Ding Qi and
Yanping Li and
Jiale Zhao and
Cairong Zhao},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{One for All: A Review of Large Pre-training Models for Re-Identification}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1581--1585},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717652},
doi = {https://doi.org/10.1145/3701716.3717652}
}