11 citations · 15 across the 4 of their papers we have counts for
4 papers
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
Haotong Qin, Xudong Ma, Yifu Ding +6
Deep neural networks, such as the Deep-FSMN, have been widely studied for keyword spotting (KWS) applications while suffering expensive computation and storage. Therefore, network…
ARIA: Adversarially Robust Image Attribution for Content Provenance
Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm +4
Image attribution -- matching an image back to a trusted source -- is an emerging tool in the fight against online misinformation. Deep visual fingerprinting models have recently b…
BiFSMN: Binary Neural Network for Keyword Spotting
Haotong Qin, Xudong Ma, Yifu Ding +6
The deep neural networks, such as the Deep-FSMN, have been widely studied for keyword spotting (KWS) applications. However, computational resources for these networks are significa…
Attenuating Random Noise in Seismic Data by a Deep Learning Approach
Xing Zhao, Ping Lu, Yanyan Zhang +2
In the geophysical field, seismic noise attenuation has been considered as a critical and long-standing problem, especially for the pre-stack data processing. Here, we propose a mo…