2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2019
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…
cs.CV2015★ 2 cited
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…
cs.CV2015★ 1 cited
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…