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Multi-modal neural networks with multi-scale RGB-T fusion for semantic segmentation

This publication appears in: Electronics Letters

Authors: L. Yangxintong, I. Schiopu and A. Munteanu

Publication Date: Jun. 2020


Abstract:

A novel deep-learning-based method for semantic segmentation of RGB and Thermal images is introduced. The proposed method employs a novel neural network design for multi-modal fusion based on multi-resolution patch processing. A novel decoder module is introduced to fuse the RGB and Thermal features extracted by separate encoder streams. Experimental results on synthetic and real-world data demonstrate the efficiency of the proposed method compared with state-of-the-art methods.

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Dr. Ionut Schiopu

+32 (0)02 629 169

ischiopu@etrovub.be

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Prof. Dr. Ir. Adrian Munteanu

+32 (0)02 629 168

acmuntea@etrovub.be

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