Hybrid Local and Global Deep-Learning Architecture for Salient-Object Detection
Salient-object detection is a fundamental and the most challenging problem in computer vision. This paper focuses on the detection of salient objects, especially in low-contrast images. To this end, a hybrid deep-learning architecture is proposed where features are extracted on both the local and gl...
| Автори: | , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
MDPI AG
2020-12-01
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| Серія: | Applied Sciences |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2076-3417/10/23/8754 |