BASNet is a computer vision model published at CVPR 2019 that performs salient object detection by predicting both object boundaries and segmentation masks. The approach uses deep neural networks with a boundary-aware loss function to achieve accurate segmentation. The repository also references U^2-Net, another saliency detection model accepted to Pattern Recognition.