GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task.
Ning Ding|Yehui Tang|Zhongqian Fu|Chao Xu|Kai Han|Yunhe Wang
| Anthology ID: | DBLP:conf/www/DingTF00025 |
|---|---|
| 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: | 2056-2065 |
| URL: | https://doi.org/10.1145/3701716.3717661 |
| DOI: | https://doi.org/10.1145/3701716.3717661 |
| DBLP: | conf/www/DingTF00025 |
| BibTeX: |
@inproceedings{ding-2025-gpt4image,
author = {Ning Ding and
Yehui Tang and
Zhongqian Fu and
Chao Xu and
Kai Han and
Yunhe Wang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2056--2065},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717661},
doi = {https://doi.org/10.1145/3701716.3717661}
}