Name
Abstract | ||
|---|---|---|
•An annotation guided U-net is proposed to achieved fast video object segmentation.•The annotation information obtained by Siamese networks is incorporated into a U-net.•AGUnet can be trained in an end-to-end manner on datasets with only static images.•AGUnet is target-focusing and can quickly adapt the trained model to segment targets.•Experiments demonstrate the effectiveness and fast speed of the proposed AGUnet. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2020.107580 | Pattern Recognition |
Keywords | DocType | Volume |
Fully-convolutional Siamese network,U-net,Interactive image segmentation,Video object segmentation | Journal | 110 |
Issue | ISSN | Citations |
1 | 0031-3203 | 1 |
PageRank | References | Authors |
0.36 | 21 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingjie Yin | 1 | 43 | 4.72 |
| De Xu | 2 | 142 | 25.04 |
| Xingang Wang | 3 | 69 | 10.51 |
| Lei Zhang | 4 | 16326 | 543.99 |