Name
Title | ||
|---|---|---|
Superpixel Segmentation Based on Square-wise Asymmetric Partition and Structural Approximation |
Abstract | ||
|---|---|---|
Superpixel segmentation aims at grouping discretizing pixels into high-level correlative units and reducing the complexity of subsequent tasks, e.g., saliency detection and object tracking. Existing superpixel segmentation algorithms mainly focus on maintaining the geometrical information, while neglecting the irregular structure of superpixels. In this paper, a superpixel segmentation method is p... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TMM.2019.2907047 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Image segmentation,Optimization,Shape,Urban areas,Deep learning,Semantics,Image color analysis | Partition problem,Computer vision,Pattern recognition,Segmentation,Salience (neuroscience),Computer science,Combinatorial optimization,Image segmentation,Video tracking,Artificial intelligence,Pixel,Deep learning | Journal |
Volume | Issue | ISSN |
21 | 10 | 1520-9210 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hua Li | 1 | 159 | 16.54 |
| Sam Kwong | 2 | 4590 | 315.78 |
| Chuanbo Chen | 3 | 76 | 16.53 |
| Yuheng Jia | 4 | 93 | 13.13 |
| Runmin Cong | 5 | 308 | 20.81 |