HILBERT uses joint-centric dual contrastive learning with CKA and mutual information regularizers to align long-sequence audio-text embeddings while preserving structure and balancing modalities.
In: Proceedings of the IEEE/CVF international conference on computer vision
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Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization
HILBERT uses joint-centric dual contrastive learning with CKA and mutual information regularizers to align long-sequence audio-text embeddings while preserving structure and balancing modalities.