OmniAgent: Audio-Guided Active Perception for Audio-Video Understanding
Research Paper#Artificial Intelligence, Audio-Visual Understanding, Active Perception, Large Language Models🔬 Research|Analyzed: Jan 3, 2026 18:32•
Published: Dec 29, 2025 17:59
•1 min read
•ArXivAnalysis
This paper introduces OmniAgent, a novel approach to audio-visual understanding that moves beyond passive response generation to active multimodal inquiry. It addresses limitations in existing omnimodal models by employing dynamic planning and a coarse-to-fine audio-guided perception paradigm. The agent strategically uses specialized tools, focusing on task-relevant cues, leading to significant performance improvements on benchmark datasets.
Key Takeaways
- •OmniAgent is an active perception agent for audio-video understanding.
- •It uses dynamic planning and audio cues for fine-grained reasoning.
- •The approach achieves state-of-the-art performance on benchmarks.
Reference / Citation
View Original"OmniAgent achieves state-of-the-art performance, surpassing leading open-source and proprietary models by substantial margins of 10% - 20% accuracy."