M 2 -RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval

Author:

Dong Xingning1ORCID,Feng Zipeng2ORCID,Zhou Chunluan2ORCID,Yu Xuzheng1ORCID,Yang Ming3ORCID,Guo Qingpei2ORCID

Affiliation:

1. Ant Group, Hangzhou, China

2. Ant Group, Beijing, China

3. Ant Group, Hangzhou, CA, China

Funder

Ant Group

Publisher

ACM

Reference60 articles.

1. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

2. Localizing Moments in Video with Natural Language

3. Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

4. Zhongzhi Chen, Guang Liu, Bo-Wen Zhang, Fulong Ye, Qinghong Yang, and Ledell Wu. 2022. Altclip: Altering the language encoder in clip for extended language capabilities. arXiv preprint arXiv:2211.06679 (2022).

5. VindLU: A Recipe for Effective Video-and-Language Pretraining

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