388 citations · 803 across the 14 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 20 cited
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
Peihua Li, Jiangtao Xie, Qilong Wang +1
Global covariance pooling in convolutional neural networks has achieved impressive improvement over the classical first-order pooling. Recent works have shown matrix square root no…
cs.CV2017★ 76 cited
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
Hongliang Yan, Yukang Ding, Peihua Li +3
In domain adaptation, maximum mean discrepancy (MMD) has been widely adopted as a discrepancy metric between the distributions of source and target domains. However, existing MMD-b…
cs.CV2017★ 31 cited
Is Second-order Information Helpful for Large-scale Visual Recognition?
Peihua Li, Jiangtao Xie, Qilong Wang +1
By stacking layers of convolution and nonlinearity, convolutional networks (ConvNets) effectively learn from low-level to high-level features and discriminative representations. Si…