no code implementations • 25 Jan 2022 • Yongqi Tian, Xueyuan Gong, Jialin Tang, Binghua Su, Xiaoxiang Liu, Xinyuan Zhang
To overcome the aforementioned limitations, in this paper, we propose a new GANs called Involution Generative Adversarial Networks (GIU-GANs).
no code implementations • 4 Dec 2021 • Xueyuan Gong, Yain-Whar Si, Yongqi Tian, Cong Lin, Xinyuan Zhang, Xiaoxiang Liu
Time-series classification approaches based on deep neural networks are easy to be overfitting on UCR datasets, which is caused by the few-shot problem of those datasets.