Name
Title | ||
|---|---|---|
Exploring Weakly Labeled Images for Video Object Segmentation With Submodular Proposal Selection. |
Abstract | ||
|---|---|---|
Video object segmentation (VOS) is important for various computer vision problems, and handling it with minimal human supervision is highly desired for the large-scale applications. To bring down the supervision, existing approaches largely follow a data mining perspective by assuming the availability of multiple videos sharing the same object categories. It, however, would be problematic for the ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2806995 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Proposals,Object segmentation,Training,Image segmentation,Noise measurement,Manuals,Detectors | Noise measurement,Voting,Pattern recognition,Segmentation,Submodular set function,Image segmentation,Artificial intelligence,Spatial contextual awareness,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 9 | 1057-7149 |
Citations | PageRank | References |
1 | 0.35 | 36 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Zhang | 1 | 36 | 7.56 |
| Xiaowu Chen | 2 | 605 | 45.05 |
| Jia Li | 3 | 524 | 42.09 |
| teng, w. | 4 | 16 | 3.70 |
| Haokun Song | 5 | 1 | 0.35 |