STDG: Semi-Teacher-Student Training Paradigm for Depth-guided One-stage Scene Graph Generation.
Xukun Zhou|Zhenbo Song|Jun He|Hongyan Liu|Zhaoxin Fan
| Anthology ID: | DBLP:conf/mir/ZhouS00F24 |
|---|---|
| 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: | 915-924 |
| URL: | https://doi.org/10.1145/3652583.3658024 |
| DOI: | https://doi.org/10.1145/3652583.3658024 |
| DBLP: | conf/mir/ZhouS00F24 |
| BibTeX: |
@inproceedings{zhou-2024-stdg,
author = {Xukun Zhou and
Zhenbo Song and
Jun He and
Hongyan Liu and
Zhaoxin Fan},
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 = {{STDG: Semi-Teacher-Student Training Paradigm for Depth-guided One-stage Scene Graph Generation}},
booktitle = {{Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024}},
pages = {915--924},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3652583.3658024},
doi = {https://doi.org/10.1145/3652583.3658024}
}