리미

https://arxiv.org/abs/2408.16219 Training-free Video Temporal Grounding using Large-scale Pre-trained ModelsVideo temporal grounding aims to identify video segments within untrimmed videos that are most relevant to a given natural language query. Existing video temporal localization models rely on specific datasets for training and have high data collection costarxiv.org Abstract Video Temporal ..

https://arxiv.org/abs/2410.03290 Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language ModelsVideo Large Language Models (Video-LLMs) have demonstrated remarkable capabilities in coarse-grained video understanding, however, they struggle with fine-grained temporal grounding. In this paper, we introduce Grounded-VideoLLM, a novel Video-LLM adept atarxiv.orgABSTRACT..