8 citations · 18 across the 10 of their papers we have counts for
5 papers · 1 filter
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers
Longkun Zou, Wanru Zhu, Ke Chen +4
Semantic pattern of an object point cloud is determined by its topological configuration of local geometries. Learning discriminative representations can be challenging due to larg…
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
Kangjun Liu, Ke Chen, Lihua Guo +2
Mixup style data augmentation algorithms have been widely adopted in various tasks as implicit network regularization on representation learning to improve model generalization, wh…
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu, Yuwei Li, Lihua Guo +1
Few-shot learning presents a challenge that a classifier must quickly adapt to new classes that do not appear in the training set, given only a few labeled examples of each new cla…
Image aesthetic evaluation using paralleled deep convolution neural network
Guo Lihua, Li Fudi
Image aesthetic evaluation has attracted much attention in recent years. Image aesthetic evaluation methods heavily depend on the effective aesthetic feature. Traditional meth-ods…
A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization
Guo Lihua, Guo Chenggan
Fine-grained categories are more difficulty distinguished than generic categories due to the similarity of inter-class and the diversity of intra-class. Therefore, the fine-grained…