A quantum-inspired transformer with a quantum VAE augmentation step is claimed to improve acoustic scene classification accuracy on the TUT 2016 benchmark by over 5% in the best case.
A survey on vision transformer,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments
A quantum-inspired transformer with a quantum VAE augmentation step is claimed to improve acoustic scene classification accuracy on the TUT 2016 benchmark by over 5% in the best case.