Name
Abstract | ||
|---|---|---|
Recent studies on semantic segmentation are exploiting contextual information to address the problem of inconsistent parsing prediction in big objects and ignorance in small objects. However, they utilize multilevel contextual information equally across pixels, overlooking those different pixels may demand different levels of context. Motivated by the above-mentioned intuition, we propose a novel ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TNNLS.2020.3043808 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Semantics,Task analysis,Decoding,Logic gates,Image color analysis,Fuses,Feature extraction | Journal | 33 |
Issue | ISSN | Citations |
4 | 2162-237X | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Jiang | 1 | 89 | 20.87 |
| Jing Liu | 2 | 1781 | 88.09 |
| Jun Fu | 3 | 157 | 7.24 |
| Xinxin Zhu | 4 | 1 | 5.42 |
| Zechao Li | 5 | 1375 | 57.59 |
| Hanqing Lu | 6 | 4620 | 291.38 |