Name
Abstract | ||
|---|---|---|
The existing shadow detection methods have achieved good results on standard shadow datasets such as SBU and UCF. However, in actual large-scale scenes, key objects covered by shadows are often regarded as shadows, which may harm computer vision tasks. In the paper, we are the first to propose the Object-aware Shadow Detection Network (OSD-Net) model for computer vision tasks in complex scenes. It... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/KST51265.2021.9415766 | 2021 13th International Conference on Knowledge and Smart Technology (KST) |
Keywords | DocType | ISSN |
shadow detection,OSD-Net,Mask RCNN,DSC,computer vision | Conference | 2374-314X |
ISBN | Citations | PageRank |
978-1-7281-7602-4 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingyi Cao | 1 | 0 | 0.34 |
| Chenglei Peng | 2 | 18 | 6.78 |
| Yang Li | 3 | 11 | 2.69 |
| Sidan Du | 4 | 0 | 0.34 |