Adversarial Contrastive Autoencoder With Shared Attention for Audio-Visual Correlation Learning
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DOI: 10.1109/access.2025.3546610
Abstract: Cross-modal audio-visual correlation learning has been an active research topic, which aims to embed audio and visual feature sequences into a common subspace where their correlation is maximized. The challenge of audio-visual correlation learning lies… read more here.
Keywords: correlation; audio visual; visual correlation; adversarial contrastive ... See more keywords