The emergence of the recommendation system has effectively alleviated information overload problem. However, traditional systems either ignore rich attribute users and items, such as user’s social-demographic features, item’s content etc., facing sparsity problem, or adopt fully connected network to concatenate information, ignoring interaction between information. In this paper, we propose fus...

The object tracking algorithm based on Siamese network often extracts the deep feature of target to be tracked from first frame video sequence as a template, and uses template for whole process. Because manually annotated in is more accurate, these algorithms have stable performance. However, it difficult adapt changing features only using extracted frame. Inspired by fusion transformer, this p...

The inclusion of spatial information into spectral classifiers for fine-resolution hyperspectral imagery has led to significant improvements in terms classification performance. task spectral-spatial image (HSI) remained challenging because high intraclass spectrum variability and low interclass variability. This fact made the extraction highly active. In this work, a novel HSI framework using ...