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Dynamic scale position embedding for cross-modal representation learning
DOI:10.1016/j.neunet.2025.108087.png)
Abstract
En 中文
• We propose a position-based method for dynamic temporal scaling. • We design a single-encoder multi-scale temporal model. • We achieve consistent gains on 4 datasets in video retrieval and video captioning.
Keywords:
Multi-modal learning
Position embedding
Representation learning
Journal
IF:
6.3
Papers:
8.3K
Citations:
3.0W
Organization
No organization information available
Cited Papers
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

