Self-supervised contrastive video-speech representation learning for ultrasound
In medical imaging, manual annotations can be expensive to acquire and sometimes infeasible to access, making conventional deep learning-based models difficult to scale. As a result, it would be beneficial if useful representations could be derived from raw data without the need for manual annotatio...
| Hlavní autoři: | , , , , , |
|---|---|
| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
Springer
2020
|