zengchangjun7-png/ECGNet-for-All-Weather-RGB-T-Object-Detection: ECGNet v1.0.1

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Main Author: zengchangjun7-png
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Published: Zenodo 2026
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_version_ 1866901741322108928
author zengchangjun7-png
author_facet zengchangjun7-png
contents <h1>ECGNet v1.0.1</h1> <p>This release archives the ECGNet source code and reproduction materials through Zenodo for DOI generation.</p> <p>The repository is directly related to the manuscript:</p> <p><strong>Physics-Guided and Entity-Centric Fusion for All-Weather RGB-T Object Detection</strong></p> <p>submitted to <em>The Visual Computer</em>.</p> <p>This release includes the modified Ultralytics-based ECGNet implementation, model configuration, training and inference scripts, dependency requirements, demo weights, example RGB-T test images, and reproduction instructions.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19941134
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle zengchangjun7-png/ECGNet-for-All-Weather-RGB-T-Object-Detection: ECGNet v1.0.1
zengchangjun7-png
<h1>ECGNet v1.0.1</h1> <p>This release archives the ECGNet source code and reproduction materials through Zenodo for DOI generation.</p> <p>The repository is directly related to the manuscript:</p> <p><strong>Physics-Guided and Entity-Centric Fusion for All-Weather RGB-T Object Detection</strong></p> <p>submitted to <em>The Visual Computer</em>.</p> <p>This release includes the modified Ultralytics-based ECGNet implementation, model configuration, training and inference scripts, dependency requirements, demo weights, example RGB-T test images, and reproduction instructions.</p>
title zengchangjun7-png/ECGNet-for-All-Weather-RGB-T-Object-Detection: ECGNet v1.0.1
url https://doi.org/10.5281/zenodo.19941134