Name
Abstract | ||
|---|---|---|
•Atom correlation based graph propagation in the global category space.•Long-tailed distribution problem alleviation in the scene graph generation task.•Performance superiority over state-of-the-art methods and strong baselines.•Model capability of capturing infrequent and missed relationships.•Flexible and holistic introduction of human commonsense knowledge. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2021.108300 | Pattern Recognition |
Keywords | DocType | Volume |
Scene graph generation,Long-tailed distribution,Knowledge graph,Atom correlation,Category space | Journal | 122 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingqian Lin | 1 | 6 | 2.46 |
| Yi Zhu | 2 | 17 | 4.27 |
| Xiaodan Liang | 3 | 1096 | 77.53 |