An AVQA-specific two-stage framework that adapts established cross-modal reconstruction and dependency-modeling principles to the supervision constraints of TM-AVQA is developed, a setting in which modality-complete, audio-missing, and visual-missing samples may occur during both training and testing.
Jin-Xing Zhou, Zhang-Bin Li, Di Hu et al.· IEEE Transactions on Pattern...· 0 citations
Across the nine leading solutions, foundation segmentation models are combined with target-aware memory, multimodal reasoning, explicit target-existence verification, agentic interaction, and corrective tracking, illustrating a broader transition from single-model mask propagation toward modular pipelines that reason a...
Chang Liu, Heng-Hui Ding, Ling-Yi Hong et al.· 0 citations
VideoVIBE is introduced, a video-grounded benchmark that transforms human-operated webpage recordings into fine-grained diagnostic tasks and V2Lens is proposed, a training-free, evidence-grounded multi-agent system that challenges and selectively refines initial video-based diagnoses through targeted visual and source-...
Jia-Jun Xu, Yang-Hao Zhou, Jing Liao et al.· 1 citation
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