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Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples

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Published in:Complex & Intelligent Systems
Format: Online Article RSS Article
Published: 2026
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container_title Complex & Intelligent Systems
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
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genre Journal Article
id rss_article:78041
institution FRELIP
journal_source_facet Complex & Intelligent Systems
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_auth Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_full Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_fullStr Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_full_unstemmed Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_short Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_sort self-supervised segmentation of large-scale blasted heap block from uav image: addressing block adhesion and imbalanced samples
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1007/s40747-026-02354-9