M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval.
Xuzheng Yu|Sicong Zhang|Xingning Dong|Zipeng Feng|Chunluan Zhou|Xuzheng Yu|Sicong Zhang|Ming Yang|Qingpei Guo
| Anthology ID: | DBLP:conf/sigir/DongFZYYG24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2156-2166 |
| URL: | https://doi.org/10.1145/3626772.3657833 |
| DOI: | https://doi.org/10.1145/3626772.3657833 |
| DBLP: | conf/sigir/DongFZYYG24 |
| BibTeX: |
@inproceedings{yu-2024-m2raap,
author = {Xuzheng Yu and
Sicong Zhang and
Xingning Dong and
Zipeng Feng and
Chunluan Zhou and
Xuzheng Yu and
Sicong Zhang and
Ming Yang and
Qingpei Guo},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {2156--2166},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657833},
doi = {https://doi.org/10.1145/3626772.3657833}
}