Audio–Visual Fusion Based on Interactive Attention for Person Verification
Xuebin Jing,
Liang He,
Zhida Song
et al.
Abstract:With the rapid development of multimedia technology, personnel verification systems have become increasingly important in the security field and identity verification. However, unimodal verification systems have performance bottlenecks in complex scenarios, thus triggering the need for multimodal feature fusion methods. The main problem with audio–visual multimodal feature fusion is how to effectively integrate information from different modalities to improve the accuracy and robustness of the system for indiv… Show more
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