Name
Abstract | ||
|---|---|---|
The problem of distance metric learning is mostly considered from the perspective of learning an embedding space, where the distances between pairs of examples are in correspondence with a similarity metric. With the rise and success of Convolutional Neural Networks (CNN), deep metric learning (DML) involves training a network to learn a nonlinear transformation to the embedding space. Existing DM... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TMM.2019.2939711 | IEEE Transactions on Multimedia |
Keywords | DocType | Volume |
Measurement,Training,Neural networks,Task analysis,Testing,Image retrieval,Adaptation models | Journal | 22 |
Issue | ISSN | Citations |
5 | 1520-9210 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yehao Li | 1 | 75 | 8.57 |
| Ting Yao | 2 | 842 | 52.62 |
| Yingwei Pan | 3 | 357 | 23.66 |
| Hongyang Chao | 4 | 495 | 36.96 |
| Tao Mei | 5 | 4702 | 288.54 |