Name
Abstract | ||
|---|---|---|
Nowadays, the inexpensive memory space promotes an accelerating growth of stored image data. To exploit the data using supervised Machine or Deep Learning, it needs to be labeled. Manually labeling the vast amount of data is time-consuming and expensive, especially if human experts with specific domain knowledge are indispensable. Active learning addresses this shortcoming by querying the user the... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDMW53433.2021.00055 | 2021 International Conference on Data Mining Workshops (ICDMW) |
Keywords | DocType | ISSN |
Active Learning,Computer Vision,Incremental Classification and Clustering,Image Classification,Image Labeling,Image Recognition | Conference | 2375-9232 |
ISBN | Citations | PageRank |
978-1-6654-2427-1 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philipp Scharpf | 1 | 0 | 0.34 |
| Chi Lap Hong | 2 | 0 | 0.34 |
| Oliver Duerr | 3 | 0 | 0.34 |