U²-Net is a nested U-structure deep learning model designed for salient object detection, which identifies the most visually prominent objects in an image. The architecture uses nested skip connections to extract multi-scale features without relying on pretrained backbones. It has been extended to applications including image background removal and dichotomous image segmentation.