73 citations · 287 across the 22 of their papers we have counts for
5 papers · 1 filter
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…
Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu, Yongqin Xian, Jiuniu Wang +2
From the beginning of zero-shot learning research, visual attributes have been shown to play an important role. In order to better transfer attribute-based knowledge from known to…
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
A wide range of image captioning models has been developed, achieving significant improvement based on popular metrics, such as BLEU, CIDEr, and SPICE. However, although the genera…