AI RESEARCH
3rd Place of MeViS-Audio Track of the 5th PVUW: VIRST-Audio
arXiv CS.CV
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ArXi:2603.23126v1 Announce Type: new Audio-based Referring Video Object Segmentation (ARVOS) requires grounding audio queries into pixel-level object masks over time, posing challenges in bridging acoustic signals with spatio-temporal visual representations. In this report, we present VIRST-Audio, a practical framework built upon a pretrained RVOS model integrated with a vision-language architecture. Instead of relying on audio-specific