DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling. DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019. pages 2807-2811, IEEE, 2019. [doi]

This author has not been identified. Look up 'Xiaofeng Zhang' in GoogleThis author has not been identified. Look up 'Zhangyang Wang' in GoogleThis author has not been identified. Look up 'Dong Liu' in GoogleThis author has not been identified. Look up 'Qing Ling' in Google

runs on WebDSL