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20182023
most citedUnderstanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images

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cs.CV2023

Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition

Jia-Xin Zhuang, Jiabin Cai, Jianguo Zhang +2

Automated medical image classification is the key component in intelligent diagnosis systems. However, most medical image datasets contain plenty of samples of common diseases and…

cs.CV20211 cited

Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images

Jia-Xin Zhuang, Wanying Tao, Jianfei Xing +3

Deep learning models have shown their superior performance in various vision tasks. However, the lack of precisely interpreting kernels in convolutional neural networks (CNNs) is b…

cs.CV2021

Discriminative Distillation to Reduce Class Confusion in Continual Learning

Changhong Zhong, Zhiying Cui, Ruixuan Wang +1

Successful continual learning of new knowledge would enable intelligent systems to recognize more and more classes of objects. However, current intelligent systems often fail to co…

cs.CV2021

Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors

Zhuoyun Li, Changhong Zhong, Sijia Liu +2

Continual learning of new knowledge over time is one desirable capability for intelligent systems to recognize more and more classes of objects. Without or with very limited amount…

cs.CV2018

Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images

Hongwei Li, Gongfa Jiang, Jianguo Zhang +4

White matter hyperintensities (WMH) are commonly found in the brains of healthy elderly individuals and have been associated with various neurological and geriatric disorders. In t…