Researchers from UCL and Google Propose AudioSlots: A Slot-Centric Generative Model For Audio Domain Blind Source Separation

The use of neural networks in architectures that operate on set-structured data and learn to map from unstructured inputs to set-structured output spaces has recently received much attention. Recent developments in object identification and unsupervised object discovery, especially in the vision domain, are supported by slot-centric or object-centric systems. These object-centric architectures are well suited […]

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