IS-Net stands for Interactive Segmentation Network. It is a deep learning model designed for interactive image segmentation. Users provide hints (e.g., clicks or scribbles) to guide the segmentation process, allowing for accurate and efficient object extraction. It's commonly used in image editing, medical image analysis, and computer vision applications where precise object boundaries are needed.
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