Name
Abstract | ||
|---|---|---|
This paper conducts a systematic study on the role of visual attention in video object pattern understanding. By elaborately annotating three popular video segmentation datasets (DAVIS$_{16}$16, Youtube-Objects, and SegTrack$_{V_2}$V2) with dynamic eye-tracking data in the unsupervised video object segmentation (UVOS) setting. For the first time, we quantitatively verified the high consistency of ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TPAMI.2020.2966453 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Visualization,Object segmentation,Motion segmentation,Task analysis,Annotations,Biological system modeling,Image segmentation | Journal | 43 |
Issue | ISSN | Citations |
7 | 0162-8828 | 5 |
PageRank | References | Authors |
0.39 | 59 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenguan Wang | 1 | 1019 | 37.24 |
| Jianbing Shen | 2 | 1362 | 60.11 |
| Xiankai Lu | 3 | 65 | 9.78 |
| Steven C. H. Hoi | 4 | 3830 | 174.61 |
| Haibin Ling | 5 | 4531 | 215.76 |