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Qiong Chen

2 accepted papers

2023

Combining Loss Reweighting and Sample Resampling for Long-Tailed Instance Segmentation

ICASSP 2023accepted

Traditional instance segmentation methods perform poorly when the training data has a long-tailed distribution. The recent long-tailed solutions only consider loss reweighting or sample resampling, which still suffers from the gradient imbalance of positive and negative samples and the overfitting r…

Cited by 0SourceScholar
2023

MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation

CVPR 2023poster

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 objects in a query set. However, the extracted knowledge is insufficient to cope with the variable intra-class differences s…