Reproducibility archive for "Real-Time Edge-Prior Guided SegFormer for Robust Contour Extraction of Aggregate Particles in Conveyor-Belt Depth Maps"

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Autori principali: Shen, Jian, Liu, Hanye, Chen, Zhilin, Zhao, Xiangnan, Yang, Huijuan
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2026
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author Shen, Jian
Liu, Hanye
Chen, Zhilin
Zhao, Xiangnan
Yang, Huijuan
author_facet Shen, Jian
Liu, Hanye
Chen, Zhilin
Zhao, Xiangnan
Yang, Huijuan
contents <p>This record contains the reproducibility archive accompanying the manuscript "Real-Time Edge-Prior Guided SegFormer for Robust Contour Extraction of Aggregate Particles in Conveyor-Belt Depth Maps".</p> <p>The archive includes: (i) the evaluation code; (ii) fixed file lists for the AGG_FULLDATA and External130 test splits; (iii) released test-set contour masks for these two splits; (iv) pre-computed probability maps for the proposed method and compared baselines; (v) trained checkpoints for HybridMiT and the compared learning-based baselines; and (vi) repeatability-study materials including raw PLY scans, scripts, figures, and summary outputs.</p> <p>The archive is intended to allow verification of the reported metrics and benchmarking results without requiring access to the proprietary raw depth maps. Due to project and data-sharing agreements, the raw AGG_FULLDATA and External130 depth maps are not publicly released. Access to unreleased source data may be provided to qualified researchers under a non-disclosure agreement.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19199004
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Reproducibility archive for "Real-Time Edge-Prior Guided SegFormer for Robust Contour Extraction of Aggregate Particles in Conveyor-Belt Depth Maps"
Shen, Jian
Liu, Hanye
Chen, Zhilin
Zhao, Xiangnan
Yang, Huijuan
depth map
contour extraction
boundary detection
SegFormer
Mix Vision Transformer
geometric prior
reproducibility
<p>This record contains the reproducibility archive accompanying the manuscript "Real-Time Edge-Prior Guided SegFormer for Robust Contour Extraction of Aggregate Particles in Conveyor-Belt Depth Maps".</p> <p>The archive includes: (i) the evaluation code; (ii) fixed file lists for the AGG_FULLDATA and External130 test splits; (iii) released test-set contour masks for these two splits; (iv) pre-computed probability maps for the proposed method and compared baselines; (v) trained checkpoints for HybridMiT and the compared learning-based baselines; and (vi) repeatability-study materials including raw PLY scans, scripts, figures, and summary outputs.</p> <p>The archive is intended to allow verification of the reported metrics and benchmarking results without requiring access to the proprietary raw depth maps. Due to project and data-sharing agreements, the raw AGG_FULLDATA and External130 depth maps are not publicly released. Access to unreleased source data may be provided to qualified researchers under a non-disclosure agreement.</p>
title Reproducibility archive for "Real-Time Edge-Prior Guided SegFormer for Robust Contour Extraction of Aggregate Particles in Conveyor-Belt Depth Maps"
topic depth map
contour extraction
boundary detection
SegFormer
Mix Vision Transformer
geometric prior
reproducibility
url https://doi.org/10.5281/zenodo.19199004