MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks
15h ago
Quick Take
MAVEN is a multi-stage pipeline for generating structured annotations for video reasoning tasks.
Key Points
- Transforms raw videos into multi-task training data.
- Supports agent-driven domain adaptation for new datasets.
- Achieves significant accuracy improvements over existing models.
Reader Mode unavailable (could not extract clean content).
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from arXiv cs.CV
See more →arXiv cs.CV·Jinhao Jing, Zheng Ma, Jinwei Liang, Qiannian Zhao, Shawn Chen, Jing Yang, Por Lip Yee, Prayag Tiwari, Jingjing Bai, Benyou Wang, Lewei Lu, Zhan Su
3d ago FeaturedOriginal
GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning
AI Summary
GeoSym127K introduces a scalable neuro-symbolic framework for enhanced geometric reasoning in multimodal models.