Probabilistic Graphical Models Meet Deep Learning for Semantic Segmentation

Authors

Josiane Zerubia (ORCID: https://orcid.org/0000-0002-7444-0856)
Martina Pastorino (ORCID: https://orcid.org/0000-0002-3804-4768)
Sebastiano B. Serpico (ORCID: https://orcid.org/0000-0001-9858-7230)
Gabriele Moser

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-12-01
Primary Topic: Advanced Neural Network Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Probabilistic Graphical Models Meet Deep Learning for Semantic Segmentation

Josiane Zerubia, Martina Pastorino, Sebastiano B. Serpico, Gabriele Moser

Dec 1, 2025

SPIRE - Sciences Po Institutional REpository

Advanced Neural Network Applications

article

Probabilistic Graphical Models Meet Deep Learning for Semantic Segmentation

Josiane Zerubia, Martina Pastorino, Sebastiano B. Serpico, Gabriele Moser

December 1, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Openalex Percentile: Top 33%

Advanced Neural Network Applications

Open Access PDF OpenAlex

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Probabilistic Graphical Models Meet Deep Learning for Semantic Segmentation — Josiane Zerubia, Martina Pastorino, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS