Svetlana Illarionova

According to our database, Svetlana Illarionova authored at least 15 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Flood Extent and Volume Estimation Using Remote Sensing Data.

Georgii Popandopulo, Svetlana Illarionova, Dmitrii Shadrin, Ksenia Evteeva, Nazar Sotiriadi, Evgeny Burnaev

Remote. Sens., September, 2023

Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery.

Svetlana Illarionova, Dmitrii Shadrin, Islomjon Shukhratov, Ksenia Evteeva, Georgii Popandopulo, Nazar Sotiriadi, Ivan V. Oseledets, Evgeny Burnaev

Remote. Sens., May, 2023

Enabling Multi-Part Plant Segmentation with Instance-Level Augmentation Using Weak Annotations.

Semen Mukhamadiev, Sergey Nesteruk, Svetlana Illarionova, Andrey Somov

Inf., 2023

PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation.

Sergey Nesteruk, Svetlana Illarionova, Ilya Zherebzov, Claire Traweek, Nadezhda Mikhailova, Andrey Somov, Ivan V. Oseledets

IEEE Access, 2023

Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels.

Islombek Mirpulatov, Svetlana Illarionova, Dmitrii Shadrin, Evgeny Burnaev

IEEE Access, 2023

Apple Tree Health Recognition Through the Application of Transfer Learning for UAV Imagery.

Liubov Dolgaia, Svetlana Illarionova, Sergey Nesteruk, Ivan Krivolapov, Anna Baldycheva, Andrey Somov, Dmitrii Shadrin

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022

A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks.

Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan V. Oseledets, Evgeny Burnaev

Remote. Sens., 2022

Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale.

Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets

Remote. Sens., 2022

XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation.

Sergey Nesteruk, Svetlana Illarionova, Timur Akhtyamov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Ivan V. Oseledets

IEEE Access, 2022

Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks.

Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets

IEEE Access, 2022

2021

Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery.

Svetlana Illarionova, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks.

Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets

Sensors, 2021

MixChannel: Advanced Augmentation for Multispectral Satellite Images.

Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Maria Pukalchik, Ivan V. Oseledets

Remote. Sens., 2021

Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation.

Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets

CoRR, 2021

Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study.

Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021