Overview
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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.
Syllabus
Chan Vese Attention U-Net: An attention mechanism for robust segmentation
Taught by
Conference GSI