12 citations · 12 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 12 cited
Generating Representative Samples for Few-Shot Classification
Jingyi Xu, Hieu Le
Few-shot learning (FSL) aims to learn new categories with a few visual samples per class. Few-shot class representations are often biased due to data scarcity. To mitigate this iss…
cs.CV2020
Learning Clusterable Visual Features for Zero-Shot Recognition
Jingyi Xu, Zhixin Shu, Dimitris Samaras
In zero-shot learning (ZSL), conditional generators have been widely used to generate additional training features. These features can then be used to train the classifiers for tes…