Semantic-guided RGB-Thermal Crowd Counting with Segment Anything Model.
Yaqun Fang|Yi Shi|Jia Bei|Tongwei Ren
| Anthology ID: | DBLP:conf/mir/FangSBR24 |
|---|---|
| Volume: | Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 570-578 |
| URL: | https://doi.org/10.1145/3652583.3658108 |
| DOI: | https://doi.org/10.1145/3652583.3658108 |
| DBLP: | conf/mir/FangSBR24 |
| BibTeX: |
@inproceedings{fang-2024-semanticguided,
author = {Yaqun Fang and
Yi Shi and
Jia Bei and
Tongwei Ren},
editor = {Cathal Gurrin and
Rachada Kongkachandra and
Klaus Sch\"{o}ffmann and
Duc-Tien Dang-Nguyen and
Luca Rossetto and
Shin'ichi Satoh and
Liting Zhou},
title = {{Semantic-guided RGB-Thermal Crowd Counting with Segment Anything Model}},
booktitle = {{Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024}},
pages = {570--578},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3652583.3658108},
doi = {https://doi.org/10.1145/3652583.3658108}
}