Serious segmentation is not a mere snapshot of the market. It plots and overlays multiple layers: data on strategic human ...
Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...
Abstract: Federated cross learning has shown impressive performance in medical image segmentation. However, it encounters the catastrophic forgetting issue caused by data heterogeneity across ...
Abstract: Image semantic segmentation represents a significant area of research within the field of computer vision. With the advent of deep learning, image semantic segmentation techniques that ...