AI RESEARCH
AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answering
arXiv CS.CV
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ArXi:2510.18346v2 Announce Type: replace Audio-Visual Question Answering (AVQA) requires models to effectively utilize both visual and auditory modalities to answer complex and diverse questions about audio-visual scenes. However, existing methods lack sufficient flexibility and dynamic adaptability in temporal sampling and modality preference awareness, making it difficult to focus on key information based on the question. This limits their reasoning capability in complex scenarios. To address these challenges, we propose a novel framework named AV-Master.