240 citations · 312 across the 11 of their papers we have counts for
4 papers · 1 filter
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
Kanghao Chen, Weixian Lei, Rong Zhang +3
Imbalanced training data is a significant challenge for medical image classification. In this study, we propose a novel Progressive Class-Center Triplet (PCCT) framework to allevia…
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography
Yaojia Zheng, Zhouwu Liu, Rong Mo +3
Accurate automated analysis of electroencephalography (EEG) would largely help clinicians effectively monitor and diagnose patients with various brain diseases. Compared to supervi…
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Yang Yang, Zhiying Cui, Junjie Xu +3
Deep learning has shown its human-level performance in various applications. However, current deep learning models are characterised by catastrophic forgetting of old knowledge whe…
SATS: Self-Attention Transfer for Continual Semantic Segmentation
Yiqiao Qiu, Yixing Shen, Zhuohao Sun +4
Continually learning to segment more and more types of image regions is a desired capability for many intelligent systems. However, such continual semantic segmentation suffers fro…