SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation.
Chengxi Zeng|Yuxuan Jiang|Ge Gao|Shuai Wang|Duolikun Danier|Bin Zhu|Stevan Rudinac|David Bull|Fan Zhang
| Anthology ID: | DBLP:conf/mir/ZengJGWDZRBZ26 |
|---|---|
| Volume: | Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026 |
| Year: | 2026 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 1147-1156 |
| URL: | https://doi.org/10.1145/3805622.3810586 |
| DOI: | https://doi.org/10.1145/3805622.3810586 |
| DBLP: | conf/mir/ZengJGWDZRBZ26 |
| BibTeX: |
@inproceedings{zeng-2026-sam3litetext,
author = {Chengxi Zeng and
Yuxuan Jiang and
Ge Gao and
Shuai Wang and
Duolikun Danier and
Bin Zhu and
Stevan Rudinac and
David Bull and
Fan Zhang},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {1147--1156},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810586},
doi = {https://doi.org/10.1145/3805622.3810586}
}