Mushi Wang

DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models

Recent progress in video-text retrieval has been driven largely by advancements in model architectures and training strategies. However, the representation learning capabilities of video-text retrieval models remain constrained by low-quality and limited training data annotations. To address this is…