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US20250139775A1

Image segmentation system via graph or multiscale cascaded attention decoding

University of Texas System

Abstract

An exemplary image segmentation method and system that employs, in a deep neural network, (i) an attention gate that fuses features with skip connections and (ii) a graph or multi-scale convolutional attention module that enhances the long-range and local context. The segmented region or image …

University
University of Texas System
Assignee
Board Of Regents, The University Of Texas System
Inventor
Radu Marculescu
Priority date
October 27, 2023
Filing date
October 28, 2024
Publication date
May 01, 2025
Language
en
Metadata fetched
August 29, 2026 00:32