Multi-label Zero-Shot Audio Classification with Temporal Attention [PDF]
arXivZero-shot learning models are capable of classifying new classes by transferring knowledge from the seen classes using auxiliary information. While most of the existing zero-shot learning methods focused on single-label classification tasks, the present study introduces a method to perform multi-label zero-shot audio classification.
arxiv
DAVE: Diagnostic benchmark for Audio Visual Evaluation [PDF]
arXivAudio-visual understanding is a rapidly evolving field that seeks to integrate and interpret information from both auditory and visual modalities. Despite recent advances in multi-modal learning, existing benchmarks often suffer from strong visual bias -- where answers can be inferred from visual data alone -- and provide only aggregate scores that ...
arxiv
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