Mo.Se.: Mosaic image segmentation based on deep cascading learning
Mosaic is an ancient type of art used to create decorative images or patterns combining small components. A digital version of a mosaic can be useful for archaeologists, scholars and restorers who are interested in studying, comparing and preserving mosaics. Nowadays, archaeologists base their studi...
Main Authors: | Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidad Politécnica de Valencia
2021-01-01
|
Series: | Virtual Archaeology Review |
Subjects: | |
Online Access: | https://polipapers.upv.es/index.php/var/article/view/14179 |
Similar Items
-
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
by: Roberto Pierdicca, et al.
Published: (2020-03-01) -
Segmental and generalized vitiligo: Both forms demonstrate inflammatory histopathological features and clinical mosaicism
by: Venkat Ratnam Attili, et al.
Published: (2013-01-01) -
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
by: Francesca Matrone, et al.
Published: (2020-09-01) -
Cross-Validation of Next-Generation Sequencing Technologies for Diagnosis of Chromosomal Mosaicism and Segmental Aneuploidies in Preimplantation Embryos Model
by: Anil Biricik, et al.
Published: (2021-04-01) -
Pregnancy and Neonatal Outcomes after Transfer of Mosaic Embryos: A Review
by: Sina Abhari, et al.
Published: (2021-03-01)