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DCFNet: Dense Complementary Fusion for RGB-Thermal Urban Scene Perception published in the 18th International Symposium on Neural Networks (ISNN 2024)

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This repository contains the segmentation results from MFNet Dataset for the paper "DCFNet: Dense Complementary Fusion for RGB-Thermal Urban Scene Perception".

Table of Contents

Visualization

Results for test and val set can be found in the results.

IoU results of each class

Class Car Person Bike Curve Car Stop Guardrail Color Cone Bump
IoU (%) 89.8 74.4 67.7 48.6 37.3 10.6 55.6 58.7

Citation

If you find our work useful in your research, please consider citing:

@InProceedings{10.1007/978-981-97-4399-5_30,
author="Zhang, Yu-Wen Michael
and Zhang, Gang
and Hu, Xiaolin",
title="DCFNet: Dense Complementary Fusion for RGB-Thermal Urban Scene Perception",
booktitle="Advances in Neural Networks -- ISNN 2024",
year="2024",
publisher="Springer Nature Singapore"
}

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DCFNet: Dense Complementary Fusion for RGB-Thermal Urban Scene Perception published in the 18th International Symposium on Neural Networks (ISNN 2024)

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