47 citations · 95 across the 5 of their papers we have counts for
5 papers
VisGraphNet: a complex network interpretation of convolutional neural features
Joao B. Florindo, Young-Sup Lee, Kyungkoo Jun +2
Here we propose and investigate the use of visibility graphs to model the feature map of a neural network. The model, initially devised for studies on complex networks, is employed…
Interactive Knowledge Distillation
Shipeng Fu, Zhen Li, Jun Xu +3
Knowledge distillation is a standard teacher-student learning framework to train a light-weight student network under the guidance of a well-trained large teacher network. As an ef…
Gated Multiple Feedback Network for Image Super-Resolution
Qilei Li, Zhen Li, Lu Lu +3
The rapid development of deep learning (DL) has driven single image super-resolution (SR) into a new era. However, in most existing DL based image SR networks, the information flow…
A Symmetric Encoder-Decoder with Residual Block for Infrared and Visible Image Fusion
Lihua Jian, Xiaomin Yang, Zheng Liu +3
In computer vision and image processing tasks, image fusion has evolved into an attractive research field. However, recent existing image fusion methods are mostly built on pixel-l…
Feedback Network for Image Super-Resolution
Zhen Li, Jinglei Yang, Zheng Liu +3
Recent advances in image super-resolution (SR) explored the power of deep learning to achieve a better reconstruction performance. However, the feedback mechanism, which commonly e…