Saliency-Guided DETR for Moment Retrieval and Highlight Detection

Understand

Existing approaches for video moment retrieval and highlight detection are not able to align text and video features efficiently, resulting in unsatisfying performance and limited production usage.

• To address this, we propose a novel architecture that utilizes recent foundational video models designed for such alignment.
• Combined with the introduced Saliency-Guided Cross Attention mechanism and a hybrid DETR architecture, our approach significantly enhances performance in both moment retrieval and highlight detection tasks.
• For even better improvement, we developed InterVid-MR, a large-scale and high-quality dataset for pretraining.