新闻
Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers propose Seeing Before Synthesizing, a framework using vision-language models to detect transition events in videos and generate adaptive captions for weakly-supervised dense video captioning.
- 为何重要
- Video understanding engineers building captioning systems should care when they need to localize and describe multiple events in untrimmed videos with only ordered event captions as training labels.
- 注意
- The approach relies on VLM frame-level narratives for inter-event gaps; performance depends on VLM quality and may not generalize across all video domains or caption styles.
- llm
- rag
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