1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Generalizable Two-Branch Framework for Image Class-Incremental Learning
Chao Wu, Xiaobin Chang, Ruixuan Wang
Deep neural networks often severely forget previously learned knowledge when learning new knowledge. Various continual learning (CL) methods have been proposed to handle such a cat…
cs.CV2023★ 1 cited
PAMI: partition input and aggregate outputs for model interpretation
Wei Shi, Wentao Zhang, Weishi Zheng +1
There is an increasing demand for interpretation of model predictions especially in high-risk applications. Various visualization approaches have been proposed to estimate the part…
cs.CV2022★ 1 cited
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…