Multi-encoder attention-based architectures for sound recognition with partial visual assistance

HIGHLIGHTS

• who: Wim Boes from the (UNIVERSITY) have published the research work: Multi-encoder attention-based architectures for sound recognition with partial visual assistance, in the Journal: (JOURNAL)
• what: The authors demonstrate that a framework can be employed to deal with this issue by applying this method to attention-based deep learning systems which are currently part of the state of the art in the domain of More specifically the authors show that the proposed model extension can successfully be utilized to incorporate partially available visual information into the operational procedures of such networks which normally . . .
  

   

  

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