Multi-task self-supervised visual learning
We investigate methods for combining multiple self-supervised tasks-i.e., supervised tasks where data can be collected without manual labeling-in order to train a single visual representation. First, we provide an apples-to-apples comparison of four different self-supervised tasks using the very dee...
| Prif Awduron: | , |
|---|---|
| Fformat: | Conference item |
| Cyhoeddwyd: |
IEEE Explore
2017
|