Abstract | ||
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Regression-based methods have revolutionized 2D landmark localization with the exploitation of deep neural networks and massive annotated datasets in the wild. However, it remains challenging for 3D landmark localization due to the lack of annotated datasets and the ambiguous nature of landmarks under the 3D perspective. This paper revisits regression-based methods and proposes an adversarial voxe... |
Year | DOI | Venue |
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2019 | 10.1109/TIP.2019.2911114 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Three-dimensional displays,Two dimensional displays,Face,Heating systems,Shape,Semantics,Task analysis | Voxel,Coordinate vector,ENCODE,Discriminator,Pattern recognition,Regression,Robustness (computer science),Artificial intelligence,Landmark,Semantics,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 9 | 1057-7149 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hongwen Zhang | 1 | 13 | 2.61 |
Qi Li | 2 | 54 | 10.18 |
Zhenan Sun | 3 | 2379 | 139.49 |