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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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VREPI-DATASETS

Authors: Jiao YunMei; Du Hao;
Abstract

The "sample" compression package stores some sample images, and there are five images of each type. If you want to use the complete dataset "VREPI-DATASETS", please contact the author to explain your intention, and we will send you the compressed package password. You must ensure that the dataset is only used for scientific research, not for commercial use. At the same time, if you use the dataset to publish your paper, you must quote our paper and dataset. The author's contact information is: 2022032007@chd.edu.cn , 2022032005@chd.edu.cn 。

We provide the data set of polarization and infrared image fusion in low visibility and vehicular environment, including the acquired polarization image, infrared original image and label image, for deep learning semantic segmentation. There are 316 images of each type, which can be used to train the semantic segmentation neural network of multimode visual input.

Keywords

Polarization, Deep learning, Infrared, Semantic segmentation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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