21 citations · 42 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 19 cited
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition
Qiong Chen, Tianlin Huang, Geren Zhu +1
Real-world data often exhibits a long-tailed distribution, in which head classes occupy most of the data, while tail classes only have very few samples. Models trained on long-tail…
cs.CV2023★ 2 cited
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
Yong Yang, Qiong Chen, Yuan Feng +1
Existing few-shot segmentation methods are based on the meta-learning strategy and extract instance knowledge from a support set and then apply the knowledge to segment target obje…
cs.LG2019★ 21 cited
Deep Reinforcement Learning for Imbalanced Classification
Enlu Lin, Qiong Chen, Xiaoming Qi
Data in real-world application often exhibit skewed class distribution which poses an intense challenge for machine learning. Conventional classification algorithms are not effecti…