M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training for Video-text Retrieval

M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training for Video-text Retrieval

Explore a 14-minute conference presentation from SIGIR 2024 that introduces M2-RAAP, an innovative multi-modal approach for advancing adaptation-based pre-training in zero-shot video-text retrieval. Learn about the methodology developed by researchers Xingning Dong, Zipeng Feng, Chunluan Zhou, Xuzheng Yu, Ming Yang, and Qingpei Guo that aims to enhance the effectiveness and efficiency of matching video content with textual descriptions without prior training examples. Understand how this cutting-edge research presented at the Association for Computing Machinery (ACM) conference contributes to the field of multimedia information retrieval and machine learning.