Name
Abstract | ||
|---|---|---|
•Our method can conduct object segmentation in videos.•Our method is capable of dealing with crucial details of target appearance.•Our method can alleviate time consuming caused by network fine-tuning.•Our method can capture dynamic changes of target objects effectively.•Our method is superior to some existing methods on video object segmentation. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.neucom.2022.04.042 | Neurocomputing |
Keywords | DocType | Volume |
Video object segmentation,Multi-level target models,Feature integration | Journal | 492 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bocong Gao | 1 | 0 | 0.34 |
| Yu-Qian Zhao | 2 | 92 | 9.98 |
| Fan Zhang | 3 | 0 | 9.13 |
| Biao Luo | 4 | 554 | 23.80 |
| Chunhua Yang | 5 | 435 | 71.63 |