Chan Vese Attention U-Net - An Attention Mechanism for Robust Segmentation

Explore an innovative attention mechanism for robust segmentation in this 20-minute conference talk from GSI. Learn about the Chan Vese Attention U-Net, a novel approach that enhances segmentation accuracy and reliability across various applications. Discover how this advanced technique combines the strengths of the Chan-Vese model with attention mechanisms to improve U-Net performance. Gain insights into the architecture, implementation, and potential benefits of this cutting-edge segmentation method for computer vision and image processing tasks.