23 citations · 50 across the 5 of their papers we have counts for
5 papers
Associative Partial Domain Adaptation
Youngeun Kim, Sungeun Hong, Seunghan Yang +3
Partial Adaptation (PDA) addresses a practical scenario in which the target domain contains only a subset of classes in the source domain. While PDA should take into account both c…
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
Yunho Jeon, Yongseok Choi, Jaesun Park +3
Training a deep neural network with a small amount of data is a challenging problem as it is vulnerable to overfitting. However, one of the practical difficulties that we often fac…
Integrating Multiple Receptive Fields through Grouped Active Convolution
Yunho Jeon, Junmo Kim
Convolutional networks have achieved great success in various vision tasks. This is mainly due to a considerable amount of research on network structure. In this study, instead of…
Constructing Fast Network through Deconstruction of Convolution
Yunho Jeon, Junmo Kim
Convolutional neural networks have achieved great success in various vision tasks; however, they incur heavy resource costs. By using deeper and wider networks, network accuracy ca…
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon, Junmo Kim
In recent years, deep learning has achieved great success in many computer vision applications. Convolutional neural networks (CNNs) have lately emerged as a major approach to imag…