73 citations · 186 across the 7 of their papers we have counts for
7 papers
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
Wenjia Xu, Jiuniu Wang, Zhiwei Wei +2
Deep neural networks have achieved promising progress in remote sensing (RS) image classification, for which the training process requires abundant samples for each class. However,…
Multi-dimension Geospatial feature learning for urban region function recognition
Wenjia Xu, Jiuniu Wang, Yirong Wu
Urban region function recognition plays a vital character in monitoring and managing the limited urban areas. Since urban functions are complex and full of social-economic properti…
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network
Wenjia Xu, Guangluan Xu, Yang Wang +3
Single image super-resolution is an effective way to enhance the spatial resolution of remote sensing image, which is crucial for many applications such as target detection and ima…
Where is the Model Looking At?--Concentrate and Explain the Network Attention
Wenjia Xu, Jiuniu Wang, Yang Wang +3
Image classification models have achieved satisfactory performance on many datasets, sometimes even better than human. However, The model attention is unclear since the lack of int…
SRQA: Synthetic Reader for Factoid Question Answering
Jiuniu Wang, Wenjia Xu, Xingyu Fu +5
The question answering system can answer questions from various fields and forms with deep neural networks, but it still lacks effective ways when facing multiple evidences. We int…
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
Jiuniu Wang, Wenjia Xu, Xingyu Fu +2
Named Entity Recognition (NER) is a challenging task that extracts named entities from unstructured text data, including news, articles, social comments, etc. The NER system has be…
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension
Jiuniu Wang, Xingyu Fu, Guangluan Xu +4
In this paper, we introduce Adversarial-and-attention Network (A3Net) for Machine Reading Comprehension. This model extends existing approaches from two perspectives. First, advers…