Name
Abstract | ||
|---|---|---|
Visual question answering (VQA) that involves understanding an image and paired questions develops very quickly with the boost of deep learning in relevant research fields, such as natural language processing and computer vision. Existing works highly rely on the knowledge of the data set. However, some questions require more professional cues other than the data set knowledge to answer questions ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.3017530 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Feature extraction,Visualization,Knowledge based systems,Task analysis,Knowledge discovery,Semantics,Cognition | Journal | 32 |
Issue | ISSN | Citations |
10 | 2162-237X | 0 |
PageRank | References | Authors |
0.34 | 10 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liyang Zhang | 1 | 0 | 0.34 |
| Shuaicheng Liu | 2 | 363 | 28.26 |
| Donghao Liu | 3 | 0 | 0.34 |
| Pengpeng Zeng | 4 | 11 | 5.85 |
| Xiangpeng Li | 5 | 99 | 16.53 |
| Jingkuan Song | 6 | 1970 | 77.76 |
| Lianli Gao | 7 | 238 | 16.29 |