Investigating the Potential of Network Optimization for a Constrained Object Detection Problem
Object detection models are usually trained and evaluated on highly complicated, challenging academic datasets, which results in deep networks requiring lots of computations. However, a lot of operational use-cases consist of more constrained situations: they have a limited number of classes to be d...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2021-04-01
|
| Серии: | Journal of Imaging |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2313-433X/7/4/64 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|