Self-supervised learning of structural representations of visual objects
This thesis explores how a computer can learn the structure of visual objects in the absence of strong supervision using self-supervised learning. We demonstrate that we can learn structural representations of objects using an autoencoding framework with reconstruction as the key learning signal. We...
| Váldodahkki: | |
|---|---|
| Eará dahkkit: | |
| Materiálatiipa: | Oahppočájánas |
| Giella: | English |
| Almmustuhtton: |
2021
|
| Fáttát: |