TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment.
Zhichuan Wang|Yang Zhou|Jinhai Xiang|Yulong Wang|Xinwei He
| Anthology ID: | DBLP:conf/mir/Wang0XW025 |
|---|---|
| Volume: | Proceedings of the 2025 International Conference on Multimedia Retrieval, ICMR 2025, Chicago, IL, USA, 30 June 2025 - 3 July 2025 |
| Year: | 2025 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 1442-1451 |
| URL: | https://doi.org/10.1145/3731715.3733442 |
| DOI: | https://doi.org/10.1145/3731715.3733442 |
| DBLP: | conf/mir/Wang0XW025 |
| BibTeX: |
@inproceedings{wang-2025-teda,
author = {Zhichuan Wang and
Yang Zhou and
Jinhai Xiang and
Yulong Wang and
Xinwei He},
editor = {Zhongfei Zhang and
Elisa Ricci and
Yan Yan and
Liqiang Nie and
Vincent Oria and
Lamberto Ballan},
title = {{TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment}},
booktitle = {{Proceedings of the 2025 International Conference on Multimedia Retrieval, ICMR 2025, Chicago, IL, USA, 30 June 2025 - 3 July 2025}},
pages = {1442--1451},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3731715.3733442},
doi = {https://doi.org/10.1145/3731715.3733442}
}