no code implementations • 14 Mar 2022 • Yong-Hui Liu, Chuan-Xian Ren, Xiao-Lin Xu, Ke-Kun Huang
Specifically, we propose a novel alignment loss term that minimizes the kernel Bures-Wasserstein distance between the joint distributions.
1 code implementation • 23 Aug 2020 • Chuan-Xian Ren, You-Wei Luo, Xiao-Lin Xu, Dao-Qing Dai, Hong Yan
Consequently, the crucial point of image set recognition is to mine the intrinsic connection or structural information from the image batches with variations.
no code implementations • 13 Mar 2020 • Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiao-Lin Xu, Yanzhi Wang
Weight pruning of deep neural networks (DNNs) has been proposed to satisfy the limited storage and computing capability of mobile edge devices.