3 accepted papers
Multi-view clustering aims to discover shared semantic structures from multiple complementary data views to improve clustering performance. However, most existing methods rely on a single clustering representation for each semantic cluster, which limits the ability to model complex cluster structure
In the domain of object detection, automatically selecting positive and negative samples methods have become a hot research topic in recent years. However, most of them focus on improving the sampling process but ignore the relationship between object size and feature map, in which the shallow and d…
In order to remove the non-uniform blur of images captured from dynamic scenes, many deep learning based methods design deep networks for large receptive fields and strong fitting capabilities, or use multi-scale strategy to deblur image on different scales gradually. Restricted by the fixed structu…