Deep Neural Networks have been successfully applied in hyperspectral ima...
Transferable adversarial attack is always in the spotlight since deep
le...
Compared with existing vehicle re-identification (ReID) tasks conducted ...
In remote sensing field, there are many applications of object detection...
In recent years, there are many applications of object detection in remo...
Nowadays, deep learning methods, especially the convolutional neural net...
Deep learning methods have played a more and more important role in
hype...
In hyperspectral image (HSI) classification, spatial context has demonst...
Convolutional Neural Network (CNN) has demonstrated impressive ability t...
In this paper, a novel statistical metric learning is developed for
spec...
This work develops a novel end-to-end deep unsupervised learning method ...
Usually considered as a classification problem, entity resolution can be...
Machine learning methods have achieved good performance and been widely
...