Introduces hybrid-attention decoupled metric learning to prevent partial learning and improve generalization in zero-shot image retrieval, claiming significant gains over prior methods.
Lip reading sentences in the wild
2 Pith papers cite this work. Polarity classification is still indexing.
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A survey that classifies non-intrusive ASR refinement methods into five categories, reviews domain adaptation and evaluation datasets, proposes standardized metrics, and identifies future research directions.
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Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval
Introduces hybrid-attention decoupled metric learning to prevent partial learning and improve generalization in zero-shot image retrieval, claiming significant gains over prior methods.
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Non-Intrusive Automatic Speech Recognition Refinement: A Survey
A survey that classifies non-intrusive ASR refinement methods into five categories, reviews domain adaptation and evaluation datasets, proposes standardized metrics, and identifies future research directions.