PruneVid: Visual Token Pruning for Efficient Video Large Language Models
PruneVid: Visual Token Pruning for Efficient Video Large Language Models
In this paper, we introduce PruneVid, a visual token pruning method designed to enhance the efficiency of multi-modal video understanding. Large Language Models (LLMs) have shown promising performance in video tasks due to their extended capabilities in comprehending visual modalities. However, the substantial redundancy in video data presents significant computational …