Name
Title | ||
|---|---|---|
Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System. |
Abstract | ||
|---|---|---|
We address the challenge of model transfer learning for a shape model matching (SMM) system. The goal is to adapt an existing SMM system to work effectively with new data without rebuilding the system from scratch. |
Year | Venue | Field |
|---|---|---|
2017 | MICCAI | Model matching,Computer vision,Scratch,Computer science,Transfer of learning,Artificial intelligence,Landmark,Random forest,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claudia Lindner | 1 | 1 | 1.37 |
| D. Waring | 2 | 0 | 0.34 |
| B. Thiruvenkatachari | 3 | 0 | 0.34 |
| K. O'Brien | 4 | 0 | 0.34 |
| Timothy F. Cootes | 5 | 4358 | 579.15 |