A salient object in computer vision refers to the most visually prominent or attention-grabbing object in an image. These are the elements that a human observer would likely focus on first due to their distinctive appearance, position, or contrast with the background. Salient object detection aims to identify and segment such objects within an image. For instance, in a wildlife photograph featuring a bird perched on a tree, the bird would likely be the salient object because it stands out against the tree and sky. This concept is widely used in applications like image segmentation, object recognition, and visual attention modeling. It helps in reducing computational complexity by focusing on key regions rather than analyzing the entire image in detail.
What is the definition of salient object in computer vision?

- Master Video AI
- How to Pick the Right Vector Database for Your Use Case
- Getting Started with Zilliz Cloud
- Natural Language Processing (NLP) Advanced Guide
- Mastering Audio AI
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
How can you balance accuracy and diversity in recommendations?
Balancing accuracy and diversity in recommendations is a crucial challenge for developers working on recommendation syst
How does edge AI support on-device learning?
Edge AI supports on-device learning by processing data locally on hardware devices rather than relying on cloud-based se
What is a graph-based neural network?
A graph-based neural network is a type of neural network designed to work with data structured as graphs. In a graph, da