<italic>DiverseNet:</italic> Decision Diversified Semi-Supervised Semantic Segmentation Networks for Remote Sensing Imagery by Wanli Ma, Oktay Karakus, Paul L. Rosin

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Evaluation of Semantic Segmentation Performance for a Multimodal Roadside Vehicle Detection System on the Edge by Lauren Ervin, Max Eastepp, Mason McVicker, Kenneth Ricks

“…Training semantic segmentation networks to automatically detect specific types of vehicles while ignoring others will allow the user to track payloads present only on certain vehicles of interest, such as train cars or semi-trucks. …”
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A Complete System for Automated Semantic–Geometric Mapping of Corrosion in Industrial Environments by Rui Pimentel de Figueiredo, Stefan Nordborg Eriksen, Ignacio Rodriguez, Simon Bøgh

“…Also, our data-driven semantic segmentation model was shown to achieve <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>70</mn><mo>%</mo></mrow></semantics></math></inline-formula> precision in corrosion detection when trained with our pixel-wise manually annotated dataset.…”
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Detecting anomalies in traffic data using a flexible semi-parametric model by Zuzana Purkrábková, Martin Langr, Pavel Hrubeš, Marek Brabec

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Transfer Learning-Based Accurate Detection of Shrub Crown Boundaries Using UAS Imagery by Jiawei Li, Huihui Zhang, David Barnard

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Exploring Transfer Learning for Anthropogenic Geomorphic Feature Extraction from Land Surface Parameters Using UNet by Aaron E. Maxwell, Sarah Farhadpour, Muhammad Ali

“…Semantic segmentation algorithms, such as UNet, that rely on convolutional neural network (CNN)-based architectures, due to their ability to capture local textures and spatial context, have shown promise for anthropogenic geomorphic feature extraction when using land surface parameters (LSPs) derived from digital terrain models (DTMs) as input predictor variables. …”
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A pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation by Guiqian Wang, Feiniu Yuan, Hongdi Li, Zhijun Fang

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An Efficient Process for the Management of the Deterioration and Conservation of Architectural Heritage: The HBIM Project of the Duomo of Molfetta (Italy) by Enrique Nieto-Julián, Silvana Bruno, Juan Moyano

“…The methodological process is mainly aided by the precise semantic segmentation of global point clouds, a semi-automatic process assisted by classification algorithms implemented in the Cyclone 3DR post-processing software, which has allowed the classification of the unstructured information provided by the remote sensing equipment when identifying the architectural-structural systems of a building with high historical values. …”
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A data-driven approach to detect support strategies for children living in households receiving public assistance in Japan: a mixed methods study to establish tailor-made health an... by Keiko Ueno, Daisuke Nishioka, Shiho Kino, Naoki Kondo

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Siamese network with change awareness for surface defect segmentation in complex backgrounds by Biyuan Liu, Sijie Luo, Huiyao Zhan, Yicheng Zhou, Zhou Huang, Huaixin Chen

“…Additionally, we developed a synthetic dataset featuring multi-class liquid crystal display (LCD) defects set within a complex and disjointed background context. In evaluations using our proposed and two public datasets, our model outperforms leading semantic segmentation methods while maintaining a relatively compact model size. …”
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An automatic and unsupervised image mask acquisition method based on generative adversarial networks by Hao Wu, Yulong Liu, Jiankang Yang

“…In addition to automatically and obtaining the required masks, our method achieved greater detection accuracy using the deep learning model Mask R-CNN compared with the manual labelling supervised method and a semi-supervised method.…”
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Providing a model of consumer behavior in creating brand attachment with an emphasis on the packaging component of food industry companies by maziar Ghasemzadeh Sangroudi, karim hamdi, SHADAN VAHABZADEH MUNSHI

“…According to the topic and objectives of the research, the semi-structured interview method has been used to collect data. …”
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