Attentive segmentation networks

Attentive segmentation networks are computer vision models that incorporate attention mechanisms to enhance the accuracy and efficiency of image segmentation by dynamically adjusting the focus areas. These networks can automatically learn and concentrate on key parts of an image, thereby achieving finer object boundary detection and classification in complex scenarios. They are widely applied in fields such as medical image analysis, autonomous driving, and remote sensing image processing.