Name
Title | ||
|---|---|---|
Saliency detection based on background seeds by object proposals and extended random walk. |
Abstract | ||
|---|---|---|
•The selected proposals are utilized to calculate the background regions as the propagation seeds.•The texture and global structure of images are integrated to refine the saliency-detection results.•With ERW propagation, our method can distinguish salient objects from the background reliably. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jvcir.2018.11.007 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Saliency detection,Object proposals,Background seeds,Extended random walk | Graph,Computer vision,Saliency map,Data set,Pattern recognition,Salience (neuroscience),Random walk,Salient objects,Pixel,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
57 | 1047-3203 | 1 |
PageRank | References | Authors |
0.35 | 54 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muwei Jian | 1 | 235 | 30.97 |
| Runxia Zhao | 2 | 1 | 0.35 |
| Xin Sun | 3 | 51 | 10.45 |
| Hanjiang Luo | 4 | 136 | 13.25 |
| Wenyin Zhang | 5 | 1 | 1.36 |
| Huaxiang Zhang | 6 | 436 | 56.32 |
| Junyu Dong | 7 | 393 | 77.68 |
| Yilong Yin | 8 | 966 | 135.80 |
| Kin-Man Lam | 9 | 1911 | 141.72 |