Name
Title | ||
|---|---|---|
A Benchmark Dataset and Saliency-guided Stacked Autoencoder for Video-based Salient Object Detection. |
Abstract | ||
|---|---|---|
Image-based salient object detection (SOD) has been extensively studied in past decades. However, video-based SOD is much less explored due to the lack of large-scale video datasets within which salient objects are unambiguously defined and annotated. Toward this end, this paper proposes a video-based SOD dataset that consists of 200 videos. In constructing the dataset, we manually annotate all ob... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2017.2762594 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Benchmark testing,Solid modeling,Object detection,Spatiotemporal phenomena,Motion segmentation,Animals | Journal | 27 |
Issue | ISSN | Citations |
1 | 1057-7149 | 12 |
PageRank | References | Authors |
0.50 | 39 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Li | 1 | 524 | 42.09 |
| Changqun Xia | 2 | 39 | 4.28 |
| Xiaowu Chen | 3 | 605 | 45.05 |