AINeutralarXiv – CS AI · 5h ago5/10
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Hierarchical Semantic-Constrained Heterogeneous Graph for Audio-Visual Event Localization
Researchers propose HSCHG, a novel framework for open-vocabulary audio-visual event localization that addresses temporal consistency and hierarchical semantic constraints by combining heterogeneous graphs in Euclidean space with hyperbolic space representations. The method uses hierarchical entailment regularization to improve recognition of unseen event categories while maintaining cross-modal alignment and semantic consistency across video and segment levels.