343 citations · 460 across the 31 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 6 cited
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
Zhijun Mai, Guosheng Hu, Dexiong Chen +2
MixUp is an effective data augmentation method to regularize deep neural networks via random linear interpolations between pairs of samples and their labels. It plays an important…
cs.CV2019★ 2 cited
Temporal Reasoning Graph for Activity Recognition
Jingran Zhang, Fumin Shen, Xing Xu +1
Despite great success has been achieved in activity analysis, it still has many challenges. Most existing work in activity recognition pay more attention to design efficient archit…
cs.CV2019★ 3 cited
Locality Preserving Joint Transfer for Domain Adaptation
Li Jingjing, Jing Mengmeng, Lu Ke +2
Domain adaptation aims to leverage knowledge from a well-labeled source domain to a poorly-labeled target domain. A majority of existing works transfer the knowledge at either feat…