Name
Abstract | ||
|---|---|---|
Even though temporal information matters for the quality of video saliency detection, many problems such as bad performance in time-space coherence and edge continuity still face present network frameworks. In response to these problems, this paper designs a full convolutional neural network, which integrates temporal differential and pixel gradient to fine tune the edges of targets. Meanwhile, th... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/ICAC50006.2021.9594136 | 2021 26th International Conference on Automation and Computing (ICAC) |
Keywords | DocType | ISBN |
Automation,Image edge detection,Coherence,Visual effects,Spatiotemporal phenomena,Convolutional neural networks,Optimization | Conference | 978-1-86043-557-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangwei Lu | 1 | 0 | 0.34 |
| Muwei Jian | 2 | 235 | 30.97 |
| Rui Wang | 3 | 8 | 5.36 |
| Zhichao Yun | 4 | 0 | 0.34 |
| Lin Pei-guang | 5 | 9 | 5.97 |
| Hui Yu | 6 | 128 | 21.50 |