Name
Abstract | ||
|---|---|---|
In background subtraction tasks, spatial and temporal contexts are beneficial in detecting moving objects. The methods based on Deep Neural Networks in this task has explored different topologies, which are composed of the conventional operations of convolutional neural networks, such as Convolutional Long-short Term Memory layer (ConvLSTM), 2D convolutional layer, or 3D convolutional layer, to ca... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3088130 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Videos,Feature extraction,Training,Three-dimensional displays,Task analysis,Correlation,Adaptation models | Journal | 32 |
Issue | ISSN | Citations |
4 | 1051-8215 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yizhong Yang | 1 | 0 | 0.68 |
| Jiahao Ruan | 2 | 0 | 0.34 |
| Yongqiang Zhang | 3 | 43 | 9.06 |
| Xin Cheng | 4 | 1 | 7.17 |
| Zhang Zhang | 5 | 5 | 8.09 |
| Guangjun Xie | 6 | 8 | 7.32 |