Scalable neural architectures for end-to-end environmental sound classification

Detailed info Scalable neural architectures for end-to-end environmental sound classification AuthorsFrancesco Paissan, Alberto Ancilotto, Alessio Brutti, Elisabetta FarellaTitleScalable neural architectures for end-to-end environmental sound classificationAbstractSound Event Detection is a complex…

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Multi-Exit Vision Transformer for Dynamic Inference

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Underspecification and fairness in machine learning (ML) applications have recently become two prominent issues in the ML community. Acoustic scene classification (ASC) applications have so far remained unaffected by this discussion, but are now becoming increasingly used in real-world systems where fairness and reliability are critical aspects.

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Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT

he Internet of Things (IoT) and smart city paradigm includes ubiquitous technology to extract context information in order to return useful services to users and citizens. An essential role in this scenario is often played by computer vision applications, requiring the acquisition of images from specific devices.

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