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Main Authors: Jocher, Glenn, Qiu, Jing, Chaurasia, Ayush
Format: Recurso digital
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Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.19892333
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author Jocher, Glenn
Qiu, Jing
Chaurasia, Ayush
author_facet Jocher, Glenn
Qiu, Jing
Chaurasia, Ayush
contents <p>This release provides the source code, configuration files, trained model links, and reproduction instructions for the manuscript "Detail-Preserving Dual-Scale Framework for Efficient Small Object Detection in UAV Remote-Sensing Imagery", submitted to The Visual Computer.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19892333
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Ultralytics YOLO
Jocher, Glenn
Qiu, Jing
Chaurasia, Ayush
<p>This release provides the source code, configuration files, trained model links, and reproduction instructions for the manuscript "Detail-Preserving Dual-Scale Framework for Efficient Small Object Detection in UAV Remote-Sensing Imagery", submitted to The Visual Computer.</p>
title Ultralytics YOLO
url https://doi.org/10.5281/zenodo.19892333