Incomplete multi-view multi-label learning requires not only robust semantic aggregation from partially observed views, but also label-aware exploitation of view-specific evidence. Existing approaches usually emphasize either shared representation learning or decision-level fusion. The former improves robustness agains...
Chengliang Liu, Bo Li, Bob Zhang et al.· IEEE Transactions on Pattern...· 0 citations
SAIL is proposed, a Spatial Audio Intelligence framework with LLMs that preserves acoustic-spatial structure and source-level correspondence from audio encoding to LLM alignment and achieves consistent improvements in dual-source sound event detection, direction and distance estimation, and spatial reasoning.
Zheng-Ding Luo, Jin-Yang Wu, Hao-Zhe Ma et al.· 1 citation
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
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