Name
Abstract | ||
|---|---|---|
Data-driven saliency detection has attracted strong interest as a result of applying convolutional neural networks to the detection of eye fixations. Although a number of image-based salient object and fixation detection models have been proposed, video fixation detection still requires more exploration. Different from image analysis, motion and temporal information is a crucial factor affecting h... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2018.2832053 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Computational modeling,Saliency detection,Predictive models,Feature extraction,Video sequences,Visualization,Training | Computer vision,Fixation (psychology),Convolutional neural network,Visualization,Salience (neuroscience),Feature extraction,Inter frame,Fixation (visual),Artificial intelligence,Deep learning,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
49 | 8 | 2168-2267 |
Citations | PageRank | References |
4 | 0.39 | 31 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meijun Sun | 1 | 74 | 11.77 |
| Ziqi Zhou | 2 | 5 | 1.76 |
| Qinghua Hu | 3 | 4028 | 171.50 |
| Zheng Wang | 4 | 43 | 4.79 |
| Jianmin Jiang | 5 | 79 | 18.69 |