Multiscale superpixel segmentation with deep features for change detection
Y Lei, X Liu, J Shi, C Lei, J Wang - Ieee Access, 2019 - ieeexplore.ieee.org
In this paper, a novel change detection technique is proposed based on multiscale
superpixel segmentation and stacked denoising autoencoders (SDAE). This approach is …
superpixel segmentation and stacked denoising autoencoders (SDAE). This approach is …
SAR image change detection via spatial metric learning with an improved Mahalanobis distance
The log-ratio (LR) operator has been widely employed to generate the difference image for
synthetic aperture radar (SAR) image change detection. However, the difference image …
synthetic aperture radar (SAR) image change detection. However, the difference image …
[PDF][PDF] 基于嵌套生成对抗学习的网络嵌入
沈鹏飞， 徐臻， 王英 - 电子学报, 2022 - ejournal.org.cn
当前网络嵌入研究更多关注信息网络结构和结点之间一阶或高阶近似关系,
对于网络结点自身属性考虑较少. 本文提出一种嵌套的生成对抗网络模型N-GAN (Nesting …
对于网络结点自身属性考虑较少. 本文提出一种嵌套的生成对抗网络模型N-GAN (Nesting …
Deep Clustering with Spherical Distance in Latent Space
This paper studies the problem of deep joint-clustering using auto-encoder. For this task,
most algorithms solve a multi-objective optimization problem, where it is then transformed …
most algorithms solve a multi-objective optimization problem, where it is then transformed …